Generates a date string for a git commit using the same format as
AI agents call git-commitDate to retrieve information from Faker MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool generates fake date strings formatted like git commit dates using Faker.js. It produces synthetic data and has no side effects, no writes, no execution of real commands. It falls squarely in the Read category as it only returns generated data.
From the tool's definition 'Generates a date string for a git commit' — purely generates/returns fake data with no side effects
Attacks that exploit this kind of access
Generates a date string for a git commit using the same format as. It is categorised as a Read tool in the Faker MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Faker MCP Server MCP server in PolicyLayer and add a rule for git-commitDate: 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 Faker MCP Server. Nothing to install.
git-commitDate 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-commitDate 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-commitDate. 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-commitDate is provided by the Faker MCP Server MCP server (kentrino/faker-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.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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