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Trainerize: List conversations

trainerize_list_conversations
Read-only

Trainerize: Your message conversations with clients and groups, newest first, with unread count. Lists your conversations in the Trainerize messenger, newest first, with the other person or group, unread count and a preview of the last message. Set unread_only to see only what needs an answer. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo1 to 100. Default: 30.
unread_onlyNoOnly conversations with unread messages.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover readOnly/destructive/openWorld, and the description adds genuinely useful behavior beyond them: newest-first ordering, that unread count and a last-message preview are returned, and an auth requirement ('Needs the user's Cotlet API key with access to this app'). It stops short of pagination behavior, but adds real value.

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 content is front-loaded but redundant: the opening sentence ('newest first, with unread count') largely restates the second sentence ('newest first ... unread count and a preview'). One of the two sentences could be cut without loss.

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 read-only list tool with no output schema, the description adequately covers ordering, returned fields, the unread filter, and the auth requirement. Return shape is described well enough to call it correctly, with only minor gaps.

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%, so the schema already documents both parameters, making 3 the baseline. The description adds meaning for unread_only ('only what needs an answer') but says nothing about limit beyond what the schema states.

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?

The description names a specific verb and resource ('Lists your conversations in the Trainerize messenger') and describes the scope (clients and groups). It doesn't explicitly differentiate from the sibling trainerize_get_conversation, but the resource and scope are unambiguous.

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?

Usage is implied by 'lists your conversations,' and 'Set unread_only to see only what needs an answer' hints at a filter intent. However, no when-to-use vs when-to-use-an-alternative guidance is given, and the sibling get_conversation is never referenced.

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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