Low Risk

search_endpoints

Search endpoints by keyword across operationId, path, summary, and description. Results are ranked by relevance. If no exact matches are found, automatically falls back to fuzzy search. The response includes a matchType field (

How to control search_endpoints ↓

What search_endpoints does on Apifable

AI agents call search_endpoints to retrieve information from Apifable without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why search_endpoints needs a policy

search_endpoints retrieves and queries OpenAPI specification metadata with no side effects. It searches endpoint documentation to help agents explore available APIs but does not execute code, modify data, delete resources, or commit financial actions. This is a pure read operation typical of API discovery tools.

From the tool's definition Tool performs search across operationId, path, summary, and description fields with ranking by relevance. Returns matchType field. No modification, deletion, or execution capabilities described.

Documented attack patterns abuse exactly the kind of access search_endpoints gives an agent:

How to control search_endpoints

PolicyLayer is an MCP gateway — it sits between your AI agents and Apifable, and nothing reaches the server without passing your rules. This is the rule we recommend for search_endpoints:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_endpoints": {}
  }
}

search_endpoints is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Apifable — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about search_endpoints

What does the search_endpoints tool do? +

Search endpoints by keyword across operationId, path, summary, and description. Results are ranked by relevance. If no exact matches are found, automatically falls back to fuzzy search. The response includes a matchType field (. It is categorised as a Read tool in the Apifable MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_endpoints? +

Register the Apifable MCP server in PolicyLayer and add a rule for search_endpoints: 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 Apifable. Nothing to install.

What risk level is search_endpoints? +

search_endpoints is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_endpoints? +

Yes. Add a rate_limit block to the search_endpoints 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 search_endpoints completely? +

Set action: deny in the PolicyLayer policy for search_endpoints. 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 search_endpoints? +

search_endpoints is provided by the Apifable MCP server (ycs77/apifable). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Apifable tool call.

Start from Apifable, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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7 Apifable tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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