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Tinplate Edge AI Safety, Security & EU Compliance

tinplate_jwt_jwk_inspector

Read-onlyIdempotent

JWT, JWS & JWK Security Auditor & RFC 8725 Linter API: Audit JWT tokens and JWK sets against RFC 8725 for alg:none, weak secrets, and leaked keys. (Endpoint: POST /v1/jwt-jwk-inspector)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "token": "<token>"
    },
    "name": "tinplate_jwt_jwk_inspector"
  }
}

Input Schema

NameRequiredDescriptionDefault
tokenYesParameter 'token' (e.g. "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODk")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds the substantive behavioral detail of what is linted (alg:none, weak secrets, leaked keys), but says nothing about the response shape or severities, and there is no output schema to fall back on.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences, with the audit scope front-loaded. The opening phrase restates the annotated title almost verbatim, which is mild redundancy, and the endpoint parenthetical is low-value for an MCP agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read-only linter this is mostly adequate, and annotations cover the safety semantics. However, with no output schema the description should at least sketch what an audit returns, and the token-vs-JWK-set input ambiguity is left unresolved.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With one parameter at 100% schema coverage, the schema already carries the burden. The description's mention of 'JWK sets' actually introduces mild ambiguity, since the only parameter is a singular 'token' — it doesn't clarify whether a JSON JWK set blob is accepted in that field.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb ('Audit') and resource ('JWT tokens and JWK sets') plus the concrete checks performed (alg:none, weak secrets, leaked keys). It is distinguishable from siblings like secret_scanner or security_headers by naming the RFC 8725 linting focus, though it never explicitly contrasts with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use / when-not-to-use guidance and no named alternative. An agent can infer that this is the tool for auditing a JWT, but nothing tells it how this differs from adjacent security tools such as the secret scanner.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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