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CoachingPortal by Cotlet

Append check in note in CoachingPortal

coachingportal_append_check_in_note
Read-onlyIdempotent

Append check in note 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_append_check_in_note"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so safety is covered; the description adds the genuinely useful facts that the tool opens nothing by itself and returns a screen/button/field walkthrough, and that no public CoachingPortal API exists. That explains the odd read-only nature of an 'append' tool. It does not describe output shape beyond the general form, but little else is needed for a zero-parameter tool.

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?

Three sentences, mostly front-loaded, but the first sentence promises an action the tool does not take, forcing the second sentence to retract it. The closing 'CoachingPortal's official API: CoachingPortal publishes no public API' restates the product name redundantly and could be trimmed to 'no public API exists.'

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 no output schema, the description carries the burden of explaining returns, and it does so adequately (steps, screens, buttons, fields). However, it never addresses how the note content itself is supplied when the tool accepts zero parameters, which is the one thing an agent would reasonably question before calling.

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 schema has zero parameters with 100% coverage, so the baseline of 4 applies and there is nothing for the description to disambiguate. The description correctly implies the tool takes no input because it only emits instructions.

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 verb and resource (append a check-in note in the user's own CoachingPortal account) and then clarifies the actual deliverable: step-by-step instructions covering screens, buttons and fields. The opening clause ('Append check in note...') momentarily reads as if the tool performs the write itself, which softens the clarity, but the second sentence corrects it and separates the tool from the execution path.

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 usage chain: call this to obtain the walkthrough, then perform the action with the cotlet_browser_* tools in the Cloud Browser. That is actionable context. It stops short of a 5 because it never excludes cases or contrasts with the many sibling check-in tools (e.g. submit_personal_check_in, respond_to_check_in), leaving the agent to infer which check-in operation this guidance covers.

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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