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get_my_branding

Read-only

The coach's (or gym's) client-app branding: display name, logo, accent colour, on/off.

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": "get_my_branding"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes the safety profile, so the burden is lower. The description does add value by enumerating what fields come back, which matters because there is no output schema. However, it does not say what happens when no branding is configured (nulls vs platform defaults), or which branding is returned when a user is both a coach and a gym owner.

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

Conciseness4/5

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

A single fragment with zero padding, and the key identifying detail (client-app branding) is front-loaded. It is slightly terse for a fragment-only sentence with no verb, but nothing in it is filler.

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?

For a zero-parameter read-only tool with no output schema, describing the returned fields is the right move and is largely done. The remaining gap is the coach-vs-gym resolution ambiguity and unstated no-branding behavior, which matter because these are the only documented aspects of the response.

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 zero parameters, so the baseline of 4 applies. The description's field list functions as return-value semantics rather than parameter semantics, and nothing about invocation needs documenting.

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 names a specific resource (the coach's or gym's client-app branding) and enumerates the fields returned: display name, logo, accent colour, on/off. It reads as a noun phrase rather than a verb+resource statement, but combined with the name the intent is unambiguous. It does not explicitly distinguish itself from the sibling update_my_branding / update_my_branding_images, though the read framing makes that inference easy.

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?

There is no when-to-use guidance and no mention of the obvious counterpart, update_my_branding, or of the related update_my_branding_images. The only signal is the tool name's 'get', from which an agent must infer this is the read side of the branding pair. No prerequisites or exclusions are stated.

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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