Agent Builder Toolkit
AI Agent Debugging & Integration Toolkit
Use AI to build. Use DDT to verify. Your AI coding tool can help build and debug the integration. DDT gives you an independent, deterministic view of the artifact it produced or consumed.
DDT's Agent Builder Toolkit checks tool calls, MCP and function-calling artifacts, JSON Schema, and OpenAPI without starting another AI task.
- PrivateSensitive artifacts stay in this browser.
- DeterministicReal validators, parsers and diff engines.
- InstantPaste, inspect, result.
Inspect one artifact
Agent Tool Inspector
Paste a tool response, contract, auth header, OpenAPI change, or retrieved text. Get a concise local report, then open a finding in the relevant DDT tool when you need more detail.
Add an expected response, a JSON Schema, or both.
Runs in your browser. Your pasted payload is not sent to DDT servers. Analyzer code is loaded from DDT only when required; artifact content is not included in those requests.
Unified findings
Agent Tool Health Report
Safe synthetic sample
Debug an agent response in 60 seconds
The response and expected contract differ by one field name. Copy both samples, format the response, then compare them in JSON Diff.
- Copy the actual response.
- Format and validate it.
- Copy the expected response and compare both payloads.
{
"tool": "get_order_status",
"requestId": "req_demo_1042",
"status": "completed",
"result": {
"orderId": "ORD-1042",
"deliveryDate": "2026-09-08"
}
}
{
"tool": "get_order_status",
"requestId": "req_demo_1042",
"status": "completed",
"result": {
"orderId": "ORD-1042",
"estimatedDeliveryDate": "2026-09-08"
}
}
Copying is unavailable in this browser. Select the JSON sample above and copy it manually.
Before it runs
Build the integration
Define the tools your agent can call, prove the API behind them returns what you promised, and catch a breaking change before it reaches production.
Validate a tool definition schema
Check the JSON Schema an agent's tool or function definition declares, before a model ever sees it. Catch malformed types, missing required entries, and constraints that will not validate.
Generate fixtures from that schema
Turn the schema you just validated into realistic, schema-valid sample payloads, so you can exercise an agent's handling of a tool result without calling the live API. Seeded output reruns identically.
Generate sample dataGenerate contract tests for an agent's API
Turn an OpenAPI spec into runnable contract tests, so the API behind a tool call keeps returning the shape your tool definition promised.
Generate contract testsCatch a breaking API change before your agent does
Diff two versions of an OpenAPI spec and see which changes are breaking, risky or safe. A field an upstream team renamed is a tool call your agent silently starts getting wrong.
Compare two specsGenerate the call your tool wrapper makes
Produce fetch, cURL or Axios calls straight from an OpenAPI spec, so the request your tool executes matches the contract it was defined against.
Generate client calls Build a request snippet by handSet up the agent's authentication
Sign and verify JWTs (HS/RS/ES) and generate PKCE values while wiring an agent into an OAuth flow — the build-time counterpart to diagnosing a 401 later.
Use throwaway keys here. Signing with a production secret means pasting that secret into a page.
Sign a token or build PKCEBefore it acts
Screen what your agent reads
Anything an agent retrieves is untrusted input, and the text a model reads is not always the text you see.
Inspect untrusted content before your agent acts on it
Zero-width characters, bidirectional overrides, and homoglyph substitutions can carry instructions that are invisible in rendered output but fully present in the text a model reads. Reveal them in retrieved pages, documents, and tool results.
Finding nothing hidden is not proof that content is safe. This inspects characters; it is not a prompt-injection filter, and manual review still applies.
Inspect untrusted contentAfter it ran
Debug what came back
Start with the symptom. DDT will take you to the most relevant tool or guided sequence.
Inspect an agent response
Format and validate JSON returned by a model, tool, webhook, or API.
Inspect JSON Query a field with JSONPathCompare expected and actual payloads
Find missing fields, changed values, type differences, and unexpected structure.
Compare payloadsDiagnose authentication failures
Inspect JWT claims, timestamps, headers, and token structure while keeping verification limitations clear.
Decoding a JWT does not verify its signature or trustworthiness.
Inspect a JWTReproduce or transform a tool call
Review an HTTP request, convert cURL, and troubleshoot an API integration.
Debug an API call Convert a cURL commandSanitize before giving debugging data to AI
Scan logs, headers, JSON and configuration for credentials or tokens before pasting them into Codex, Claude, ChatGPT, Copilot, a ticket, or a PR.
Pattern-based scanning can produce false positives and false negatives. Manual review is required.
Scan and redact secrets Sanitize a full HAR traceDecode encoded content
Decode Base64, Base64URL, and data URIs to read a payload that arrived encoded.
Decode encoded contentReusable sequences
Repeatable debugging paths
Use a prebuilt workflow when one tool is not enough. Each step runs locally in your browser where the underlying tool supports it.
From unreadable response to useful evidence
- Format and validate JSON
- Extract the relevant subtree
- Compare actual with expected
- Scan before sharing
Inspect a 401, 403, or token failure
- Inspect JWT structure and claims
- In that decoder's claims panel, review
exp,nbf,iat, issuer, audience, and scopes - Decode related encoded values
- Inspect the HTTP request
This sequence helps inspect data; it does not validate token signatures or authorize access.
Start auth triageReduce accidental leakage before sharing
- Sanitize the HAR or trace
- Review tokens, headers, and identifiers
- Format the remaining payload
- Manually review the final artifact
Always perform a manual review before sharing production debugging data.
Prepare a safe debug sampleCanonical tools
Featured tools for agent builders
JSON Schema Validator
Validate a tool definition or payload against Draft 7 / 2019-09 / 2020-12 schemas.
Synthetic Data Generator
Generate schema-valid, realistic sample payloads from a JSON Schema, seeded and repeatable.
API Contract Test Generator
Turn an OpenAPI contract into runnable tests for the API behind a tool call.
OpenAPI Breaking Change Analyzer
Diff two specs and classify each change as breaking, risky, safe or documentation.
Secrets Scanner
Find and redact likely credentials before sharing agent debugging evidence. Manual review remains required.
JSON Diff
Compare two JSON payloads, ignoring key order.
JWT Decoder
Decode JWTs locally and verify HMAC signatures with a supplied secret.
API Debugging Studio
Parse a cURL or HAR into headers, body, JWT and issues, or compare two entries.
HAR Sanitizer
Redact secrets with custom rules, and export Postman, cURL, or fetch packs.
Unicode & Invisible Character Inspector
Detect and clean invisible, zero-width, bidi, and look-alike characters.
Contextual utilities: JSON Formatter, cURL Converter, Base64, and Regex Tester. Regex is useful for testing custom detection patterns, but it is not a core agent-integration diagnostic.
Companion, not competitor
AI can write the integration. DDT helps you verify what actually happened.
Use Codex, Claude Code, Cursor, GitHub Copilot, OpenAI agent tooling, LangChain, LangGraph, CrewAI, Google ADK, Semantic Kernel, MCP tooling, or your custom framework when it fits the job. Use DDT for a quick independent check of a specific payload, schema, token, trace, or API contract.
Privacy by architecture
Developer data should stay under your control
DDT tools process data in the browser. That is especially useful when debugging tokens, API payloads, logs, and traces that may contain sensitive information. Review each tool's guidance, avoid pasting production secrets unless necessary, and manually inspect anything before sharing it.
- Tool data is processed in your browser.
- No account is required for core usage.
- No cookies or third-party analytics. Coarse allowlisted interaction categories may be counted at the CDN edge; raw tool input is never included.
- Manual review remains necessary before sharing sensitive artifacts.
FAQ
Frequently asked questions
Are these tools specific to one agent framework?
No. They address common integration problems involving JSON, HTTP, authentication, encoded data, traces, and contracts. They can support developers using different models and frameworks.
Does DDT upload my payloads or tokens?
No. DDT tools process pasted data locally in your browser. The Toolkit sends only coarse allowlisted interaction categories to the same-origin CDN edge; it never sends tool input. There are no cookies or third-party analytics.
Can DDT verify that a JWT is valid?
Decoding exposes the token structure and claims. It does not by itself verify the signature, issuer, audience, trust chain, or authorization decision. The JWT Decoder can separately verify supported HMAC signatures when you provide the secret.
Why not just use Codex or Claude Code?
You should use them when they are the right tool. AI coding assistants are excellent for writing integrations, changing code, generating tests and reasoning across a repository. DDT serves a narrower purpose: quick, deterministic inspection of specific artifacts using browser-side validators, parsers, diff engines and security utilities.
Can I use the toolkit offline?
Some tools are available after the site has been cached or installed, subject to current browser and PWA support.
Is this an official AgentsNexus resource?
No. It is an independent Daily Developer Tools community resource and is not affiliated with or endorsed by AgentsNexus or its organizers.
Keep it close
Keep the toolkit ready for your next agent-building session
Bookmark this page (Ctrl+D, or ⌘+D on a Mac) so it is one keystroke away next time, share its normalized link with your team, or sharpen the skills behind these tools.