Shows the commit logs
AI agents call git_log to retrieve information from GitHub MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The git_log tool retrieves and displays commit history, which is a read-only operation. It has no capability to modify, delete, or execute code. The blast radius if misused is minimal—an AI agent could only over-query or spam requests, not cause damage to the repository or data.
From the tool's definition Tool name 'git_log' and description 'Shows the commit logs' indicate a query/retrieval operation with no side effects. Commit logs are historical data that cannot be modified by viewing them.
Attacks that exploit this kind of access
Shows the commit logs. It is categorised as a Read tool in the GitHub MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GitHub MCP Server MCP server in PolicyLayer and add a rule for git_log: 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 MCP Server. Nothing to install.
git_log 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 git_log 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 git_log. 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.
git_log is provided by the GitHub MCP Server MCP server (lyderdev/github-mcp-server). 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.
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