Understand a ${config.name} API endpoint before using it.
AI agents call inspect_api to retrieve information from Anyapi without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and examines API endpoint information, schemas, and specifications to help users understand available endpoints. It performs no side effects, makes no modifications, executes no external operations, and does not delete data. The purpose is informational and preparatory. It is a read-only inspection capability, placing it in the 'Read' category with low severity.
From the tool's definition Tool name 'inspect_api' and description 'Understand a ${config.name} API endpoint before using it' indicate inspection/introspection of API metadata without executing operations or modifying state.
Documented attack patterns abuse exactly the kind of access inspect_api gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Anyapi, and nothing reaches the server without passing your rules. This is the rule we recommend for inspect_api:
{
"version": "1",
"default": "deny",
"tools": {
"inspect_api": {}
}
}inspect_api is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Understand a ${config.name} API endpoint before using it. It is categorised as a Read tool in the Anyapi MCP Server, which means it retrieves data without modifying state.
Register the Anyapi MCP server in PolicyLayer and add a rule for inspect_api: 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 Anyapi. Nothing to install.
inspect_api is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the inspect_api 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.
Set action: deny in the PolicyLayer policy for inspect_api. 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.
inspect_api is provided by the Anyapi MCP server (quiloos39/anyapi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Anyapi, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 Anyapi tools catalogued and risk-classified — across an index of 43,000+ MCP servers.