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mfit_client_list_groups

Read-onlyIdempotent

Read students in MFIT. Actions: list — paginated list, filter by status/name get — full student profile list_groups — trainer's custom groups (DYNAMIC — call before creating/updating a student to get valid groupId) Field types — STATIC: status (0=active/1=inactive).

[Flattened action: list_groups]

Bulk support: accepts client_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
searchNo
statusNoactive
accountNo
client_idNo
page_sizeNo
client_idsNo

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true, so the description adds value by noting the 'DYNAMIC' nature (must call before mutations), the static status field interpretation (0=active/1=inactive), and bulk support via client_ids. There is 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.

Conciseness2/5

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

The description is messy: it starts with a generic 'Read students in MFIT.', lists multiple actions, then switches to list_groups specifics. The field types and flattened action notes are embedded awkwardly. While short, it lacks clear structure and has redundant elements.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters, no output schema, and 0% schema coverage, the description misses critical details like pagination behavior, return format, and how client_ids interact with other parameters. The dynamic usage note and bulk support are good, but overall completeness is low.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain parameters. It only covers 'status' (as static field) and 'client_ids' (for bulk), leaving 5 out of 7 parameters (page, search, account, client_id, page_size) unexplained. This is insufficient for an agent to understand all parameters.

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 clearly indicates that the tool lists trainer's custom groups (list_groups) and is used before creating/updating a student to get a valid groupId. Although the description starts with a broader 'Read students in MFIT' and lists multiple actions, it clarifies that this specific tool is the flattened action for list_groups, making the purpose clear.

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?

The description explicitly says 'call before creating/updating a student to get valid groupId', providing a clear use case. It does not mention when not to use it or alternatives, but the context is sufficient for an agent to understand the primary usage scenario.

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.