Skip to main content
Glama

CoachingPortal by Cotlet

Search food library in CoachingPortal

coachingportal_search_food_library
Read-onlyIdempotent

Search food library in the user's own CoachingPortal account from ChatGPT, Claude or any AI agent. Returns how to do it in CoachingPortal step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's CoachingPortal Cloud Browser. CoachingPortal's official API: CoachingPortal publishes no public API.

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": "coachingportal_search_food_library"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, and the description is consistent with them: 'opens nothing by itself'. Beyond the annotations it adds genuinely useful context — the return payload is a step-by-step procedure (screens, buttons, fields) and the actual action must be carried out through browser tools because no public API exists. It does not describe output length, format, or whether the steps vary by role/plan, which keeps it off a 5.

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 critical fact — that the tool returns instructions and performs no action — is front-loaded and clear. But 'from ChatGPT, Claude or any AI agent' is marketing filler, and 'CoachingPortal's official API: CoachingPortal publishes no public API' is a redundant, awkwardly constructed sentence that could be compressed to a few words.

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?

With zero parameters and no output schema, the description carries the burden of explaining what comes back, and it does name the return shape (step-by-step screens, buttons, fields). What is missing is any indication of how the agent should hand the returned steps to the browser tools, and any acknowledgement that no search term can be supplied. For a tool whose entire value is its returned content, that leaves a meaningful gap.

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

Parameters3/5

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

The tool takes zero parameters, so the schema baseline is 4 and nothing needs documenting. However, a 'search food library' tool with no query argument is counterintuitive; the description never explains that no food name or search term is accepted because the tool only returns instructions. That omission is exactly the kind of parameter-level clarification this description should carry, so it sits below the zero-parameter baseline.

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 the resource (food library in the user's own CoachingPortal account) and then explicitly reframes what the tool actually does: it returns step-by-step UI instructions rather than performing the search. This is a specific and non-obvious purpose that an agent could not infer from the name alone. It falls short of 5 because it does not contrast itself with closely named siblings such as coachingportal_search_exercises or coachingportal_favorite_food.

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 a clear two-step usage pattern: call this to learn the procedure, then execute it with the cotlet_browser_* tools in the user's CoachingPortal Cloud Browser. That is actionable routing guidance rather than a bare purpose statement. It stops short of 5 because it never states when NOT to use this tool or which sibling to prefer for adjacent food-library tasks.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources