Deprecated: prefer generate_program, which enrols a scored, trainable program. Generate a weekly training plan tailored to your program, goals, and readiness. Sessions are written directly to your calendar.
AI agents use generate_weekly_plan 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.
This tool creates new calendar entries and modifies user data (writing sessions to calendar). While these are reversible actions (sessions can be deleted via delete_session or delete_sessions tools available on the server), the tool itself performs write operations rather than read-only queries.
From the tool's definition Tool description states 'Sessions are written directly to your calendar' - this creates/modifies calendar data. The tool generates and writes training plan sessions, which are reversible modifications to user data.
Attacks that exploit this kind of access
Deprecated: prefer generate_program, which enrols a scored, trainable program. Generate a weekly training plan tailored to your program, goals, and readiness. Sessions are written directly to your calendar. 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.
Register the Pelaris MCP server in PolicyLayer and add a rule for generate_weekly_plan: 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.
generate_weekly_plan 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 generate_weekly_plan 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 generate_weekly_plan. 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.
generate_weekly_plan 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.
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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