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Zen Planner: Get class roster

zen-planner_get_class_roster
Read-only

Zen Planner: Who reserved and who checked in for one class. Returns the people who reserved one class, each with a reservation_id and whether they are checked in. Use reservation_id with cancel_reservation and person_id with check_in_member. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
class_idYesClass ID from list_classes.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so safety is covered. The description adds meaningful context beyond the annotations: the auth requirement ('Needs the user's Cotlet API key with access to this app') and the shape of the returned fields (reservation_id and check-in status). No return format or pagination limits are described.

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?

Purpose, return contents, downstream usage, and auth needs are all front-loaded across three tight sentences with no filler. The 'Zen Planner:' prefix duplicates the title and is the only wasted token.

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 no output schema, the description covers purpose, returned fields, auth requirement, and the downstream cross-tool chain. Nothing critical for correct invocation is missing, though an explicit note on when to prefer this over list_classes would make it fully complete.

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?

There is exactly one parameter and schema description coverage is 100% ('Class ID from list_classes'), so the schema already documents it fully. The description adds no syntax or sourcing detail beyond the schema, making the baseline 3 appropriate given how much the schema carries.

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?

States a specific verb and resource ('get class roster') and immediately clarifies the semantics: 'Who reserved and who checked in for one class.' This distinguishes it from siblings like list_classes and check_in_member, which an agent could otherwise confuse with roster retrieval.

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?

The description tells the agent what to do with the output ('Use reservation_id with cancel_reservation and person_id with check_in_member'), which implies the workflow context. However, it never states when to call this tool versus alternatives like list_classes, nor any exclusions or prerequisites for retrieval itself.

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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