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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, but the description adds genuinely new behavioral facts: the call returns step-by-step UI instructions and 'opens nothing by itself,' so the agent must chain into browser tools to act. That is non-obvious and valuable. It stops short of describing the returned content's exact structure or length, keeping it from 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.

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

The workflow-critical facts are present but not front-loaded, and several phrases add little: 'from ChatGPT, Claude or any AI agent' is filler, and the closing sentence about Trengo's REST API and the absence of an official MCP server is tangential justification rather than invocation guidance. The core message could be delivered in two tighter sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema, and safety already covered by annotations, the description supplies what an agent needs: what the call returns, that it performs no action itself, and which tools to use next. The remaining gap is the absence of a pointer to the alternative cotlet_app_guide, but completeness for this simple tool is otherwise good.

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

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

The tool takes zero parameters, so per the baseline rule this scores 4. The description correctly reflects a no-input tool, but there is nothing parameter-related for it to add meaning to.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (a reminder) and the target app (Trengo) and, crucially, corrects the misleading 'set' verb by stating it 'Returns how to do it in Trengo step by step' rather than performing the action. It distinguishes itself from the browser siblings by pointing to cotlet_browser_* as the follow-up. The only weakness is that the true nature (a guidance/instructions tool) is buried mid-sentence rather than stated up front.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear two-step workflow ('then do it with the cotlet_browser_* tools in the user's Trengo Cloud Browser'), which is real usage guidance. However, it does not say when to prefer this over the sibling cotlet_app_guide, nor does it state any preconditions or exclusions. Usage is implied rather than explicitly scoped against alternatives.

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