Low Risk

summarize_search_results

summarize_search_results

How to control summarize_search_results ↓

What summarize_search_results does on Smithsonian Open Access MCP Server

AI agents call summarize_search_results to retrieve information from Smithsonian Open Access 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 summarize_search_results needs a policy

This tool performs a read operation—it processes and summarizes search results from the Smithsonian collection database. There is no indication of data creation, modification, deletion, code execution, or financial impact. The blast radius of misuse is minimal; worst case, an AI agent could exhaust API quotas or retrieve irrelevant summaries, but no data integrity or security is at risk.

From the tool's definition Tool name 'summarize_search_results' combined with sibling tools like 'search', 'find_and_describe', 'find_on_view_items', and 'get_object_details' indicates this tool retrieves and summarizes data from the Smithsonian collection without modifying it.

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

How to control summarize_search_results

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

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

summarize_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 Smithsonian Open Access 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.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about summarize_search_results

What does the summarize_search_results tool do? +

summarize_search_results. It is categorised as a Read tool in the Smithsonian Open Access MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on summarize_search_results? +

Register the Smithsonian Open Access MCP Server MCP server in PolicyLayer and add a rule for summarize_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 Smithsonian Open Access MCP Server. Nothing to install.

What risk level is summarize_search_results? +

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

Can I rate-limit summarize_search_results? +

Yes. Add a rate_limit block to the summarize_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 summarize_search_results completely? +

Set action: deny in the PolicyLayer policy for summarize_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 summarize_search_results? +

summarize_search_results is provided by the Smithsonian Open Access MCP Server MCP server (molanojustin/smithsonian-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Smithsonian Open Access MCP Server tool call.

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

Free to start. No card required.

28 Smithsonian Open Access MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.