api_linting · APIMesh MCP Server MCP: Risk & Policy

WHAT IT DOES

What api_linting does on APIMesh MCP Server

AI agents invoke api_linting to trigger actions in APIMesh MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why api_linting needs a policy

This tool executes a linting engine against OpenAPI specifications and implementation URLs supplied by the user. While it performs read-only analysis (no data mutation), it triggers external operations whose effects depend on the supplied arguments—fetching remote content, parsing specs, and running validation logic. This fits Execute rather than Read because the tool actively runs a comprehensive validation process.

From the tool's definition Tool name 'api_linting' with description 'Run a comprehensive linting and validation on provided OpenAPI spec and implementation URLs' indicates execution of analysis code against user-supplied URLs.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

api_linting Rate-limited

api_linting stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "api_linting": {
      "limits": [
        {
          "counter": "api_linting_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches APIMesh MCP Server, so you can run agents against it safely.

FAQ

Questions about api_linting

What does the api_linting tool do? +

Run a comprehensive linting and validation on provided OpenAPI spec and implementation URLs. It is categorised as a Execute tool in the APIMesh MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on api_linting? +

Register the APIMesh MCP Server MCP server in PolicyLayer and add a rule for api_linting: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches APIMesh MCP Server. Nothing to install.

What risk level is api_linting? +

api_linting is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit api_linting? +

Yes. Add a rate_limit block to the api_linting rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block api_linting completely? +

Set action: deny in the PolicyLayer policy for api_linting. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides api_linting? +

api_linting is provided by the APIMesh MCP Server MCP server (mbeato/apimesh). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.