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, and the description reinforces this with 'opens nothing by itself', which is a genuinely useful non-action disclosure. It also explains why the browser-based path exists by noting the absence of a general-purpose Trainerfu API. It omits prerequisites such as whether the user must already be signed into the Cloud Browser, which is the main behavioral gap.

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 functional statement is front-loaded and tight, but the trailing sentence about Trainerfu's API is verbose, oddly dated ('vendor sources checked on 12 November 2026') and reads as boilerplate. The middle clause 'from ChatGPT, Claude or any AI agent' adds little, and the run-on semicolon construction makes the key point ('opens nothing by itself') easy to skim past.

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 output schema, the description carries the burden of describing the return value and does so: 'step by step (screens, buttons, fields)'. For a zero-parameter, read-only guidance tool this is close to complete, with only the missing prerequisite/session-state detail keeping it from full marks.

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 there are no parameter semantics to explain and the baseline of 4 applies. The description sensibly spends no space on arguments, though it also does not mention whether any scoping (client, date range) is conveyed elsewhere.

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 a specific resource and action (client assessments in the user's Trainerfu account) and, crucially, clarifies that the tool returns step-by-step instructions rather than performing the review. That resolves the ambiguity implied by the name, since a reader might otherwise expect the tool itself to open Trainerfu. It stops short of explicitly differentiating from the near-identical sibling trainerfu_review_client_diary.

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 clear operational sequencing: this tool gives the steps, then you execute them with the cotlet_browser_* tools in the Cloud Browser. That is real when-to-use guidance an agent can act on. It does not state when NOT to use it (for example, versus cotlet_app_guide or the diary-review sibling), so the alternative-selection guidance is incomplete.

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