Medium Risk

generate_search_queries

generate_search_queries

How to control generate_search_queries ↓

What generate_search_queries does on Pubmed Search

AI agents use generate_search_queries to create or update resources in Pubmed Search — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pubmed Search environment.

Medium Risk

Why generate_search_queries needs a policy

The tool appears to create or generate search query structures (reversible data creation), classifying it as Write rather than Read. It does not execute searches directly (which would be Execute), nor does it delete or destroy data (Destructive), nor modify finances (Financial).

From the tool's definition Tool name 'generate_search_queries' suggests creating or composing search query objects. The description is empty, limiting certainty.

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

How to control generate_search_queries

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_search_queries": {
      "limits": [
        {
          "counter": "generate_search_queries_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

generate_search_queries stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Pubmed Search — 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 generate_search_queries

What does the generate_search_queries tool do? +

generate_search_queries. It is categorised as a Write tool in the Pubmed Search MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_search_queries? +

Register the Pubmed Search MCP server in PolicyLayer and add a rule for generate_search_queries: 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 Pubmed Search. Nothing to install.

What risk level is generate_search_queries? +

generate_search_queries is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit generate_search_queries? +

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

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

generate_search_queries is provided by the Pubmed Search MCP server (u9401066/pubmed-search-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pubmed Search tool call.

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

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63 Pubmed Search tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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