get_github_rate_limit
AI agents call get_github_rate_limit to retrieve information from DCI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves rate limit status information from GitHub, which is a read-only query with no side effects. It cannot modify data, trigger external operations with arbitrary effects, delete data, or move money. The empty description reduces confidence slightly, but the name strongly implies a simple informational query. Classified as Read with low severity since leaking rate limit information poses minimal risk.
From the tool's definition Tool name 'get_github_rate_limit' indicates a query operation that retrieves rate limit information from GitHub API. No description provided, but naming convention suggests a non-mutating read operation.
Attacks that exploit this kind of access
get_github_rate_limit. It is categorised as a Read tool in the DCI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DCI MCP Server MCP server in PolicyLayer and add a rule for get_github_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 DCI MCP Server. Nothing to install.
get_github_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 get_github_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 get_github_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.
get_github_rate_limit is provided by the DCI MCP Server MCP server (redhat-community-ai-tools/dci-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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