mfit_get_client_evaluations
Get evaluations for one or many students: heart rate zones, VO2max, and training frequency.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| account | No | ||
| client_id | No | ||
| client_ids | No |
Get evaluations for one or many students: heart rate zones, VO2max, and training frequency.
| Name | Required | Description | Default |
|---|---|---|---|
| account | No | ||
| client_id | No | ||
| client_ids | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds context about the returned data fields but does not describe any edge cases or constraints. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is a single, clear sentence. It is front-loaded and concise. Minor improvement could include listing parameters explicitly, but it is not wasteful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with 3 parameters, no output schema, and no nested objects, the description is mostly adequate. However, it omits details like default behavior, output format, and whether all evaluations are returned. Lacks completeness for a fully self-contained definition.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%. The description weakly hints at multiple students via 'one or many' but provides no explanation of account, client_id, or client_ids parameters. It does not compensate for the lack of schema documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves evaluations with specific data points (heart rate zones, VO2max, training frequency) for one or many students. It uses strong verb 'Get' and identifies the resource ('evaluations'), distinguishing it from sibling tools like mfit_get_client_workouts.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. Sibling tools such as mfit_get_training_frequency or mfit_get_client_workouts exist but the description does not differentiate usage scenarios or mention exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools have identical descriptions but different names (e.g., mfit_client_get, mfit_client_list, mfit_client_list_groups all share the same description text). The flattened action pattern creates multiple tools for each action, making it extremely difficult for an agent to choose the correct one. Tools like mfit_workout_write_add_exercise and mfit_workout_write_archive_routine share the same verbose description, leading to high ambiguity.
The naming follows a loose mfit_<domain>_<action> pattern, but there is inconsistency: some tools use 'get' (mfit_get_client_count), others use 'list' (mfit_client_list), and actions like 'write' are overloaded with multiple sub-actions. The pattern is not uniform, and the flattened action suffix adds confusion.
With 48 tools, the count is excessive for what appears to be a single-domain server (personal training management). Many tools are redundant because they only differ by a single action parameter. The number could be reduced significantly by consolidating related operations.
The server covers a wide range of functionality: client management, workouts, exercises, files, finances, retention, and feedback. However, there are notable gaps such as direct messaging, advanced analytics, or payment processing. The duplication of tools also suggests that the actual feature set is less complete than the tool count implies.