⚡ MONITOR API USAGE and rate limits in real-time. Shows server limits (36,000/hour), remaining calls (35,907), and local tracking (1,000/hour limit). Includes timestamps for rate limit resets. Essential for high-volume applications to avoid hitting API limits. Both server-side and local rate limi...
AI agents call rate_limit_status to retrieve information from Gov info api without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only diagnostic tool that retrieves monitoring data about API usage and rate limits. It has no side effects, does not create, modify, or delete data, does not execute external operations, and does not involve financial transactions. The blast radius of misuse is minimal—an agent could only retrieve rate limit information, which poses no security risk.
From the tool's definition The tool MONITORS and SHOWS rate limit status, remaining calls, and usage metrics without modifying any data. It performs read-only queries to retrieve real-time API usage information.
Attacks that exploit this kind of access
⚡ MONITOR API USAGE and rate limits in real-time. Shows server limits (36,000/hour), remaining calls (35,907), and local tracking (1,000/hour limit). Includes timestamps for rate limit resets. Essential for high-volume applications to avoid hitting API limits. Both server-side and local rate limiting are tracked and displayed for comprehensive usage monitoring. It is categorised as a Read tool in the Gov info api MCP Server, which means it retrieves data without modifying state.
Register the Gov info api MCP server in PolicyLayer and add a rule for rate_limit_status: 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 Gov info api. Nothing to install.
rate_limit_status 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 rate_limit_status 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 rate_limit_status. 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.
rate_limit_status is provided by the Gov info api MCP server (n00dlefr34k/gov-info-api-mcp). 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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