Low Risk

search_schemas

Search schemas by keyword across schema name and description. Results are ranked by relevance. If no exact matches are found, automatically falls back to fuzzy search. Empty results may include a guidance message suggesting next steps. Use get_schema to inspect a specific schema in detail.

How to control search_schemas ↓

What search_schemas does on Apifable

AI agents call search_schemas 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_schemas needs a policy

This tool retrieves and queries schema metadata from an OpenAPI specification without side effects. It returns ranked search results and guidance—purely informational. No data is created, modified, deleted, or executed. The tool is a standard search/discovery utility characteristic of Read operations.

From the tool's definition Tool performs "search schemas by keyword" and "results are ranked by relevance" with automatic fuzzy fallback. No modification, deletion, or execution capabilities described.

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

How to control search_schemas

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_schemas:

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

search_schemas 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_schemas

What does the search_schemas tool do? +

Search schemas by keyword across schema name and description. Results are ranked by relevance. If no exact matches are found, automatically falls back to fuzzy search. Empty results may include a guidance message suggesting next steps. Use get_schema to inspect a specific schema in detail. 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_schemas? +

Register the Apifable MCP server in PolicyLayer and add a rule for search_schemas: 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_schemas? +

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

Can I rate-limit search_schemas? +

Yes. Add a rate_limit block to the search_schemas 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_schemas completely? +

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

search_schemas 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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