mfit_get_client_workouts
Read-onlyIdempotent
Get all workout routines assigned to one or many students. Supports bulk via client_ids.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| account | No | ||
| client_id | No | ||
| client_ids | No |
MFIT Personal
TDQS
B3.2/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds 'Supports bulk via client_ids' which is useful but does not disclose rate limits, permissions, or return format. Adds moderate value beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no filler. Every word adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema. Description does not mention return format, pagination, or error conditions. For a list operation, more detail would help agent anticipate results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%. Description only mentions 'bulk via client_ids' but does not explain any parameter (account, client_id, client_ids). Agent cannot infer meaning or constraints from description.
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?
Description specifies verb 'Get', resource 'workout routines', scope 'assigned to one or many students', and mentions bulk capability. Clearly distinguishes from siblings that deal with individual routines or different entities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this vs alternatives like mfit_workout_get_routine. Does not state exclusions or context where other tools might be better.
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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TDQS
C2.6/5.0
Disambiguation1/5
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.
Naming Consistency2/5
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.
Tool Count2/5
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.
Completeness3/5
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.