Low Risk

mcp_gemini_context_list_caches

List all available caches

How to control mcp_gemini_context_list_caches ↓

AI agents call mcp_gemini_context_list_caches 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.

Low Risk

Even though mcp_gemini_context_list_caches 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 mcp_gemini_context_list_caches 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 mcp_gemini_context_list_caches:

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

mcp_gemini_context_list_caches 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 Gemini Context 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.
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Go deeper

What does the mcp_gemini_context_list_caches tool do? +

List all available caches. It is categorised as a Read tool in the Gemini Context MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on mcp_gemini_context_list_caches? +

Register the Gemini Context MCP Server MCP server in PolicyLayer and add a rule for mcp_gemini_context_list_caches: 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.

What risk level is mcp_gemini_context_list_caches? +

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

Can I rate-limit mcp_gemini_context_list_caches? +

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

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

mcp_gemini_context_list_caches 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.

Enforce policy on every Gemini Context MCP Server tool call.

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.

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