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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description still adds real value beyond that: 'opens nothing by itself' and the fact that the return payload is procedural instructions rather than the curve itself — a behavioral fact no annotation encodes. The API-availability sentence adds no behavior information.

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 operative content is compact and front-loaded, but two of the four clauses are filler: the 'from ChatGPT, Claude or any AI agent' framing and the dated claim 'Intervals.icu's official API: Yes... (checked 6 Nov 2026)'. The latter is not only wasteful but introduces a competing, unexplained alternative route.

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?

For a zero-parameter, non-destructive tool with no output schema, the description covers the essentials: what it returns (step-by-step screens/buttons/fields), that it has no side effects, and what to do next. The only real defect is the dangling API remark, which leaves the agent unsure whether an API route exists and when to choose it.

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?

Zero parameters and 100% schema coverage, so the baseline is a 4. The description correctly implies no input is required for the call, though it never explicitly says the request takes no arguments (e.g., no sport or date-range selection).

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 does state what comes back — 'how to do it in Intervals.icu step by step (screens, buttons, fields)' — which is a real clarification given the name promises power-curve data. But that clarification is buried behind marketing phrasing ('from ChatGPT, Claude or any AI agent') and never contrasts this tool with the other intervals_icu_get_* siblings. An agent must read carefully to realize this is a guidance tool, not a data-retrieval tool.

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?

There is genuine sequencing guidance: call this, then perform the steps with cotlet_browser_* in the user's Cloud Browser. However, no when-not-to-use case is given, and the trailing line about Intervals.icu having a public REST API implies an unstated alternative path without saying when that path should be preferred.

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