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Trainerize: List check-ins

trainerize_list_check_ins
Read-only

Trainerize: Check-in forms a client submitted, with each question and answer. Lists submitted check-in forms, newest first, each with every question and the answer. Leave client_id empty to read all clients. Use since to read only what is new since your last run. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoOnly check-ins submitted on or after this date.
client_idNoOne client. Default: all clients.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, not destructive, openWorld), so the bar is lower; the description still adds real context beyond them: newest-first ordering, that every question and answer is included, incremental-read semantics, and that a Cotlet API key with app access is required.

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

Conciseness3/5

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

The ordering and payload are front-loaded well, but the first two sentences restate the same fact ('each question and answer') almost verbatim, so the opening is not fully earning its place.

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 two-param, read-only list tool with full schema coverage, no output schema, and safety annotations, the description covers purpose, ordering, payload shape, filtering behavior, and auth needs. Only pagination/volume limits are left unstated, a minor 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?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning beyond the schema: the empty-client_id case is framed as 'read all clients' and `since` is framed as incremental sync ('what is new since your last run'), which the schema's terse 'on or after this date' does not convey.

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 ('Lists') and resource ('submitted check-in forms') and describes the returned payload (each question and its answer, newest first). No sibling tool in the Trainerize set covers check-ins, so an agent can select it without ambiguity.

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?

Gives concrete operational context: leave client_id empty to read all clients, and use `since` to fetch only what has appeared since the last run. It lacks a when-not-to-use or alternative-tool comparison, but there is no competing check-in tool to route against.

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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