Generate text using Apple
AI agents invoke fm_generate to trigger actions in Pypi:apple Fm. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes an on-device language model to generate text. It is not a simple read/query operation; it actively runs inference on Apple's Neural Engine, whose output depends on the arguments provided. The description is truncated and uninformative beyond the basic premise, so confidence is moderate.
From the tool's definition 'Generate text using Apple' — triggers an on-device LLM (3B parameter model) to produce text output based on input arguments
Attacks that exploit this kind of access
Generate text using Apple. It is categorised as a Execute tool in the Pypi:apple Fm MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi:apple Fm MCP server in PolicyLayer and add a rule for fm_generate: 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_generate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the fm_generate 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_generate. 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_generate 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.
Teams ship this data inside their own products. See what a licence covers →