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Everfit: Get conversation

everfit_get_conversation
Read-only

Everfit: Messages with one client, oldest first, with links to images and videos. Returns the messages in your Inbox conversation with one client, oldest first, with who sent each and links to images and videos they attached. Read the thread before drafting a reply. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo1 to 200. Default: 50.
client_idYesClient ID from list_clients.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false, so the safety profile is covered. The description adds the auth requirement (Cotlet API key with app access) and the ordering/return-content shape, but says nothing about pagination behavior or rate limits, so it adds only moderate context.

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

Conciseness2/5

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

The first fragment ('Messages with one client, oldest first, with links to images and videos') is almost entirely restated by the following sentence ('Returns the messages in your Inbox conversation with one client, oldest first, with who sent each and links to images and videos they attached'). Roughly half the text is redundant, so not every sentence earns 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?

With no output schema, the description carries the return-shape burden and does describe what comes back (messages, who sent each, media links) plus ordering and auth. Pagination nuances are not covered, but the limit parameter in the schema partly compensates, making it nearly complete for a read tool.

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%: both limit (1 to 200, default 50) and client_id (from list_clients) are fully documented in the schema. The description adds no parameter-level meaning beyond what the schema already provides, so the baseline 3 applies.

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 specific verb+resource: retrieving the message thread for one client, in oldest-first order, including sender and media links. It implicitly separates itself from send_message by framing it as reading 'before drafting a reply,' though it never names sibling tools like everfit_list_conversations explicitly.

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 line 'Read the thread before drafting a reply' gives a clear when-to-use signal, but there are no named alternatives or exclusion criteria, and no guidance on how it relates to everfit_list_conversations. Usage is implied rather than explicit.

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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