This record as markdown: /tools/agentics-ai-code-mcp/git-log.md
What git_log does on Code MCP Server
AI agents call git_log to retrieve information from Code MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why git_log is rated Low
The git_log tool retrieves historical information about commits in a Git repository. This is a non-destructive query operation with no side effects—it only reads and displays data without creating, modifying, or deleting anything. The blast radius of misuse is minimal, as an AI could only view commit history, not alter it or affect the codebase itself.
From the tool's definition Tool name 'git_log' and description 'Show commit history' indicate a read-only operation that retrieves and displays Git commit history without modifying any data.
Attacks that exploit this kind of access
The rule that runs git_log safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Code MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For git_log, this is the rule to start with:
git_log 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 Code MCP Server, apply this rule, and every git_log call is checked against it from then on.
Questions about git_log
Show commit history. It is categorised as a Read tool in the Code MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Code 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 Code 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 Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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