Low Risk

get_search_results

Performs a search query using the Searchcraft API with support for fuzzy/exact matching, facets, and date ranges.

How to control get_search_results ↓

What get_search_results does on Searchcraft MCP Server

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

Low Risk

Why get_search_results needs a policy

This tool queries data from pre-built search indexes and returns results. It has no side effects, does not modify, delete, or execute code. The fuzzy/exact matching, facets, and date ranges are all query parameters that filter results without altering state. This is a standard information retrieval operation classified as Read with low severity.

From the tool's definition Tool description states 'Performs a search query' and 'retrieve information from custom search indexes'. The verb 'search query' and retrieval operation without any modification capabilities indicate a read-only operation.

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

How to control get_search_results

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

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

get_search_results 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 Searchcraft MCP Server — 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 get_search_results

What does the get_search_results tool do? +

Performs a search query using the Searchcraft API with support for fuzzy/exact matching, facets, and date ranges. It is categorised as a Read tool in the Searchcraft MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_search_results? +

Register the Searchcraft MCP Server MCP server in PolicyLayer and add a rule for get_search_results: 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 Searchcraft MCP Server. Nothing to install.

What risk level is get_search_results? +

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

Can I rate-limit get_search_results? +

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

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

get_search_results is provided by the Searchcraft MCP Server MCP server (searchcraft-inc/searchcraft-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Searchcraft MCP Server tool call.

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

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48 Searchcraft MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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