list_meal_presets

Return every meal preset saved on this MCP server, sorted by most-recently-updated. Call this first when the user says

Server Fitbit Googlehealth tachibanayu24/fitbit-googlehealth-mcp
Category Read
Risk class Low
Parameters 00 required

What list_meal_presets does on Fitbit Googlehealth

AI agents call list_meal_presets to retrieve information from Fitbit Googlehealth without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why list_meal_presets needs a policy

This tool simply queries and returns a list of meal presets without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal risk—the worst-case scenario is unauthorized viewing of the user's meal preset data, which has low blast radius in the context of AI agent misuse.

From the tool's definition Tool name 'list_meal_presets' and description 'Return every meal preset saved' indicate retrieval of existing data with no modification, deletion, or execution capability.

Risk signalsBulk/mass operation — affects multiple targets

Questions about list_meal_presets

What does the list_meal_presets tool do? +

Return every meal preset saved on this MCP server, sorted by most-recently-updated. Call this first when the user says. It is categorised as a Read tool in the Fitbit Googlehealth MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_meal_presets? +

Register the Fitbit Googlehealth MCP server in PolicyLayer and add a rule for list_meal_presets: 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 Fitbit Googlehealth. Nothing to install.

What risk level is list_meal_presets? +

list_meal_presets is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_meal_presets? +

Yes. Add a rate_limit block to the list_meal_presets 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.

How do I block list_meal_presets completely? +

Set action: deny in the PolicyLayer policy for list_meal_presets. 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.

What MCP server provides list_meal_presets? +

list_meal_presets is provided by the Fitbit Googlehealth MCP server (tachibanayu24/fitbit-googlehealth-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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