daily_check_in

Log how you

Server Pelaris thedonk/pelaris-mcp-server
Category Write
Risk class Medium
Parameters 00 required

What daily_check_in does on Pelaris

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

Why daily_check_in needs a policy

The tool name 'daily_check_in' and the partial description 'Log how you' strongly suggest this tool records a daily wellness or readiness check-in (e.g., mood, sleep, fatigue). This is a Write operation — creating a new log entry — with low severity since it only records personal fitness/wellness data and has no destructive or financial implications. Confidence is slightly reduced due to the truncated description.

From the tool's definition 'Log how you' — the description is truncated but begins with 'Log', indicating it writes/records data (a daily check-in entry).

Questions about daily_check_in

What does the daily_check_in tool do? +

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

How do I enforce a policy on daily_check_in? +

Register the Pelaris MCP server in PolicyLayer and add a rule for daily_check_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 Pelaris. Nothing to install.

What risk level is daily_check_in? +

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

Can I rate-limit daily_check_in? +

Yes. Add a rate_limit block to the daily_check_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.

How do I block daily_check_in completely? +

Set action: deny in the PolicyLayer policy for daily_check_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.

What MCP server provides daily_check_in? +

daily_check_in is provided by the Pelaris MCP server (thedonk/pelaris-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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