update_caloric_phase

Update the user

Server Arvo MCP Server khaoss85/arvo-mcp
Category Write
Risk class Medium
Parameters 00 required

What update_caloric_phase does on Arvo MCP Server

AI agents use update_caloric_phase to create or update resources in Arvo MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Arvo MCP Server environment.

Why update_caloric_phase needs a policy

This tool creates or modifies user data (caloric phase settings) in a reversible manner, fitting the Write category. Severity is medium because while the changes are reversible, incorrect caloric phase updates could lead to poor fitness outcomes or misguidance. The incomplete description ('Update the user') reduces confidence slightly, but the 'update' verb and fitness context make the Write classification clear.

From the tool's definition Tool name includes 'update' and description indicates it modifies user data ('Update the user'). The context of a fitness coaching server suggests this updates training parameters like caloric intake phases, which are reversible modifications.

Questions about update_caloric_phase

What does the update_caloric_phase tool do? +

Update the user. It is categorised as a Write tool in the Arvo MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_caloric_phase? +

Register the Arvo MCP Server MCP server in PolicyLayer and add a rule for update_caloric_phase: 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 Arvo MCP Server. Nothing to install.

What risk level is update_caloric_phase? +

update_caloric_phase is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_caloric_phase? +

Yes. Add a rate_limit block to the update_caloric_phase 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 update_caloric_phase completely? +

Set action: deny in the PolicyLayer policy for update_caloric_phase. 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 update_caloric_phase? +

update_caloric_phase is provided by the Arvo MCP Server MCP server (khaoss85/arvo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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