google_search_and_store · MCP Associative Memory Server MCP

WHAT IT DOES

What google_search_and_store does on MCP Associative Memory Server

AI agents use google_search_and_store to create or update resources in MCP Associative Memory Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Associative Memory Server environment.

WHY IT NEEDS A POLICY

Why google_search_and_store needs a policy

The tool has two phases: reading (Google search) and writing (storing results in associative memory). Since it creates new data in the memory store, the dominant action is Write. It does not delete data or involve financial operations. Severity is medium because an agent could flood the memory store with unwanted or malicious search results, polluting the knowledge base.

From the tool's definition 'Execute Google search and store results in associative memory' — performs a search and then stores/writes the results into memory

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

google_search_and_store Rate-limited

google_search_and_store 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "google_search_and_store": {
      "limits": [
        {
          "counter": "google_search_and_store_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP Associative Memory Server, so you can run agents against it safely.

FAQ

Questions about google_search_and_store

What does the google_search_and_store tool do? +

Execute Google search and store results in associative memory. It is categorised as a Write tool in the MCP Associative Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on google_search_and_store? +

Register the MCP Associative Memory Server MCP server in PolicyLayer and add a rule for google_search_and_store: 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 MCP Associative Memory Server. Nothing to install.

What risk level is google_search_and_store? +

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

Can I rate-limit google_search_and_store? +

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

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

google_search_and_store is provided by the MCP Associative Memory Server MCP server (mako10k/mcp-assoc-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.