Low Risk

get_api_key

Returns the tier, label, masked owner email, creation date, last-used timestamp, today's request count, and daily request limit for the API key used in this request. Useful for agents that need to monitor their own quota consumption. Use this tool when: - You want to check how many requests your ...

Part of the TunnelMind Data API server.

get_api_key is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_api_key to retrieve information from TunnelMind Data API without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_api_key only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

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These attack patterns abuse exactly the kind of access get_api_key gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_api_key only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_api_key tool do? +

Returns the tier, label, masked owner email, creation date, last-used timestamp, today's request count, and daily request limit for the API key used in this request. Useful for agents that need to monitor their own quota consumption. Use this tool when: - You want to check how many requests your key has used today. - You need to know your current tier or daily limit. - You want to confirm that your API key is active. Do NOT use this tool when: - You want to manage multiple keys — this endpoint only reflects the calling key. - You need tracker data — use the tracker endpoints instead. Inputs: - No body or query parameters. Auth is from the Authorization: Bearer header. Returns: - tier: free, supporter, pro, or enterprise. - requests_today: integer count from KV (best-effort; resets at UTC midnight). - limit_per_day: null for enterprise (unlimited). - last_used: ISO 8601 timestamp, may be null if never used. Cost: - Free. Does not count against the daily request limit. Latency: - Typical: <150ms, p99: <400ms.. It is categorised as a Read tool in the TunnelMind Data API MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_api_key? +

Register the TunnelMind Data API MCP server in PolicyLayer and add a rule for get_api_key: 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 TunnelMind Data API. Nothing to install.

What risk level is get_api_key? +

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

Can I rate-limit get_api_key? +

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

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

get_api_key is provided by the TunnelMind Data API MCP server (https://mcp-data.tunnelmind.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TunnelMind Data API tool call.

Deterministic rules across all 54 TunnelMind Data API tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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