AI agents call extract to retrieve information from Fs Git without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves selective data from files (spans matching a query pattern) and returns results. It has no side effects, does not modify file state, does not execute code, and does not affect data outside the read operation. The query-based filtering is a Read operation similar to search or fetch utilities.
From the tool's definition Tool performs 'extract relevant spans from a file based on query' - a retrieval operation that reads and returns specific portions of file content without modifying or deleting data.
Attacks that exploit this kind of access
Extract relevant spans from a file based on query. It is categorised as a Read tool in the Fs Git MCP Server, which means it retrieves data without modifying state.
Register the Fs Git MCP server in PolicyLayer and add a rule for extract: 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 Fs Git. Nothing to install.
extract 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 extract 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 extract. 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.
extract is provided by the Fs Git MCP server (wojons/fs-git-mcp). 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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