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Joy: List schedule

joy_list_schedule
Read-only

Joy: Events on your Schedule page with time, time zone, venue, dress code and privacy. Returns the events on your Schedule page in time order. Privacy says whether everyone or only specific guests see an event. Use schedule_item_id with update_schedule_event. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_idYesEvent ID from list_events.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint and destructiveHint=false, so the safety profile is covered; the description adds value by stating results are returned in time order, explaining the privacy field semantics, and flagging the required Cotlet API key access. It stops short of mentioning pagination or result limits.

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

Conciseness4/5

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

Efficient and mostly front-loaded, leading with what the tool returns. The 'Schedule page' phrase and the return-order statement are slightly repetitive, and the privacy-field definition is a small aside, but nothing is wasted enough to hurt readability.

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

Completeness4/5

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

For a single-parameter read tool with annotations covering the safety profile and no output schema, the description is complete enough: it lists returned fields, notes the ordering, and states the auth requirement. The main gap is the lack of differentiation from the sibling joy_list_events.

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

Parameters3/5

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

Schema description coverage is 100% and event_id is documented there ('Event ID from list_events'), so the schema carries parameter meaning. The description adds no parameter-level detail; it references schedule_item_id (for the sibling update tool) rather than the actual event_id parameter, which is neutral rather than clarifying.

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

Purpose4/5

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

States a clear verb+resource: returns the events on the user's Schedule page, and enumerates the fields surfaced (time, time zone, venue, dress code, privacy). It does not explicitly differentiate from the sibling joy_list_events, but the 'Schedule page' scoping makes the purpose legible.

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

Usage Guidelines3/5

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

Implies usage ('Events on your Schedule page') and gives a concrete cross-reference to update_schedule_event via schedule_item_id, plus the auth prerequisite (Cotlet API key with app access). However, it never states when to choose this over joy_list_events or other list tools, leaving the alternative selection to inference.

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

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