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View client list in Trainerfu

trainerfu_view_client_list
Read-onlyIdempotent

View client list in the user's own Trainerfu account from ChatGPT, Claude or any AI agent. Returns how to do it in Trainerfu step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Trainerfu Cloud Browser. Trainerfu's official API: Trainerfu does not publish a general-purpose API reference or API-key setup in the vendor sources checked on 12 November 2026.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "trainerfu_view_client_list"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent and closed-world, and the description adds genuinely useful behavior beyond them: it explicitly says nothing is opened and that execution requires a separate browser tool chain. It also explains why browser automation is needed by noting Trainerfu publishes no general-purpose API reference or API-key setup. The appended provenance date is slightly distracting but does not undermine the disclosure.

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 core guidance is front-loaded, which is good, but the middle sentence is a run-on that mixes return format, non-action guarantee, and the follow-up tool call in a single clause chain. The trailing API-availability note is useful but worded verbosely, and the vendor-check date adds length without much decision value.

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?

There is no output schema, and the description compensates by telling the agent what comes back (step-by-step screens, buttons, fields). For a zero-parameter guidance tool with readOnly annotations, this covers what an agent needs to select and use it correctly.

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

Parameters4/5

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

The tool takes no parameters, so there is nothing for the description to disambiguate; baseline is 4. It correctly does not invent or imply any inputs.

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 states a specific verb+resource (view the client list in Trainerfu) and is explicit that the tool returns step-by-step instructions rather than performing the action. It distinguishes itself from the cotlet_browser_* siblings by saying it 'opens nothing by itself'. The only wobble is that the name suggests an actual data fetch while the tool is really a how-to recipe, though the text corrects that quickly.

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?

It gives clear sequencing: use this tool to get the screens/buttons/fields, then execute with cotlet_browser_* in the user's Trainerfu Cloud Browser. It does not explicitly exclude or compare against the trainerfu_review_client_diary/assessments siblings, but those cover different resources, so the lack of exclusion is minor.

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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