AI agents call search_stops to retrieve information from Golemio without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and filters existing public transit stop data without any side effects. It performs a simple search/lookup operation that is characteristic of Read category tools. The data is public and read-only access poses minimal security risk.
From the tool's definition Tool description states 'Search for Prague public transit stops by name' — a pure query operation with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
Search for Prague public transit stops by name. It is categorised as a Read tool in the Golemio MCP Server, which means it retrieves data without modifying state.
Register the Golemio MCP server in PolicyLayer and add a rule for search_stops: 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 Golemio. Nothing to install.
search_stops is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_stops 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.
Set action: deny in the PolicyLayer policy for search_stops. 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.
search_stops is provided by the Golemio MCP server (mrmebelman/golemio-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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