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CoachingPortal by Cotlet

Read meal recipe in CoachingPortal

coachingportal_read_meal_recipe
Read-onlyIdempotent

Read meal recipe 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_read_meal_recipe"
  }
}

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?

Beyond the readOnly/idempotent/non-destructive annotations, the description discloses that the tool opens nothing itself, returns procedural steps with screens/buttons/fields, and requires browser tools to actually execute. That is useful behavioral context, though the exact return format is only loosely described.

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 workflow is front-loaded and clear, but phrases like 'from ChatGPT, Claude or any AI agent' and the awkward 'CoachingPortal's official API: CoachingPortal publishes no public API' add filler without helping an agent decide or invoke.

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?

For a zero-parameter, no-output-schema tool, the description is nearly complete: it explains the return content (step-by-step screens/buttons/fields) and the required follow-up with browser tools. A little more detail on the exact response shape would make it fully complete.

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 schema baseline is 4. The description correctly adds no parameter meaning because there are none to explain.

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 action (read meal recipe in the user's CoachingPortal account) but then clarifies it actually returns step-by-step instructions rather than the recipe itself. That nuance is important and mostly clear, though the name 'read_meal_recipe' creates slight tension with the instruction-returning behavior.

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 explains the workflow: this tool returns how-to steps, then the agent should perform the action with cotlet_browser_* tools because CoachingPortal has no public API. That gives clear context for when and how to use it, though it doesn't explicitly name when-not-to-use relative to other coachingportal_* siblings.

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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