Extract structured data from text using Apple
AI agents call fm_extract to retrieve information from Pypi:apple Fm without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads input text and extracts/parses structured data from it—a transformation of existing data without creation, modification, or deletion. It operates on provided text input and returns extracted results. This is consistent with Read category behavior (query, fetch, parse).
From the tool's definition Tool name 'fm_extract' and description 'Extract structured data from text using Apple' indicate data retrieval and transformation operations. No side effects, modifications, deletions, executions, or financial operations are implied.
Attacks that exploit this kind of access
Extract structured data from text using Apple. It is categorised as a Read tool in the Pypi:apple Fm MCP Server, which means it retrieves data without modifying state.
Register the Pypi:apple Fm MCP server in PolicyLayer and add a rule for fm_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 Pypi:apple Fm. Nothing to install.
fm_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 fm_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 fm_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.
fm_extract is provided by the Pypi:apple Fm MCP server (pypi:apple-fm-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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