rate_limit
Your remaining GitHub API requests and reset time.
This record as markdown: /tools/io-github-abhishekkumar2021-github/rate-limit.md
What rate_limit does on GitHub
AI agents call rate_limit to retrieve information from GitHub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why rate_limit is rated Low
This tool only reads and returns metadata about the current API rate limit status (remaining requests and reset time). It performs no writes, executes no code, and has no destructive or financial implications. Misuse potential is negligible.
From the tool's definition 'Your remaining GitHub API requests and reset time' — purely retrieves quota/status information with no side effects
Attacks that exploit this kind of access
The rule that runs rate_limit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rate_limit, this is the rule to start with:
rate_limit is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every rate_limit call is checked against it from then on.
Questions about rate_limit
Your remaining GitHub API requests and reset time. It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.
Register the GitHub MCP server in PolicyLayer and add a rule for rate_limit: 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 GitHub. Nothing to install.
rate_limit 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 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. 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 is provided by the GitHub MCP server (@abhishekmcp/github). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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