Search for relevant context using semantic similarity
AI agents call search_context to retrieve information from Gemini Context MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though search_context only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Documented attack patterns abuse exactly the kind of access search_context gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gemini Context MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_context:
{
"version": "1",
"default": "deny",
"tools": {
"search_context": {}
}
}search_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Search for relevant context using semantic similarity. It is categorised as a Read tool in the Gemini Context MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Gemini Context MCP Server MCP server in PolicyLayer and add a rule for search_context: 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 Gemini Context MCP Server. Nothing to install.
search_context 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_context 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_context. 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_context is provided by the Gemini Context MCP Server MCP server (ogoldberg/gemini-context-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 Gemini Context MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
12 Gemini Context MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.