Add a new weight measurement
AI agents use add_weigh_in to create or update resources in Garmin MCP Server for Poke — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Garmin MCP Server for Poke environment.
This tool creates new health/fitness data (weight measurements) in the Garmin Connect system. It is reversible (can be deleted as evidenced by the sibling tool 'delete_weigh_ins'), so it falls under Write rather than Destructive.
From the tool's definition Tool name 'add_weigh_in' and description 'Add a new weight measurement' indicate creation of new health data records.
Attacks that exploit this kind of access
Add a new weight measurement. It is categorised as a Write tool in the Garmin MCP Server for Poke MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Garmin MCP Server for Poke MCP server in PolicyLayer and add a rule for add_weigh_in: 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 Garmin MCP Server for Poke. Nothing to install.
add_weigh_in is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_weigh_in 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 add_weigh_in. 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.
add_weigh_in is provided by the Garmin MCP Server for Poke MCP server (theol0403/garmin-mcp-poke). 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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