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Record the recurring schedule

record_schedule

Record the schedule for the recurring 'Run Agent Chef' task after creating or updating it in your scheduler.

Instructions

Call after creating (or changing) the recurring 'Run Agent Chef.' task in your own scheduler, with a one-line description, e.g. 'Claude scheduled task, daily 9:00 and 18:00 America/Los_Angeles'. Lets the app stop reminding you and shows the owner that the loop is automated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clearedNotrue if the schedule was removed
descriptionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
agent_scheduleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description reveals meaningful behavior beyond the annotations: this tool only records a schedule that was created externally in the user's own scheduler, it suppresses the app's reminders, and it signals to the owner that the loop is automated. It does not discuss the `cleared: true` path, but that gap is partially covered by the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that starts with the action and timing, includes a useful example, and ends with the rationale. Every part earns its place with no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description thoroughly covers the create/change flow but omits the removal scenario implied by the `cleared` parameter. An agent might not know to call this tool after removing the schedule. Since the output schema is available, return values need not be described, but the cleared use case is a meaningful gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds real value for the required `description` parameter by clarifying it should be a one-line description and giving a concrete example. The `cleared` parameter is left to the schema, which already explains it means 'true if the schedule was removed', so the overall parameter semantics are solid.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific action (record the schedule) and the exact triggering condition (after creating or changing the recurring 'Run Agent Chef' task). It also explains the tool's purpose — stopping reminders and showing the owner that the loop is automated — which clearly distinguishes it from execution tools like run_agent_chef.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit timing: call after creating or changing the scheduled task, and provides a concrete example of the expected one-line description. It does not mention the removal case or name alternative tools, so it stops short of a complete when/when-not guide.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.