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

Annotations already establish that this is a read-only, non-destructive, closed-world operation. The description adds valuable behavioral context by explaining that `effective` contains resolved app bounds and targets while `raw` contains the stored profile and auto/manual flags.

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 description is front-loaded with the core action and then details the returned blocks. It is dense but mostly earns its length because there is no output schema; however, the long single-sentence style could be structured more readably.

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?

No output schema exists, so the description carries the burden of explaining return values. It does so thoroughly: named profile metrics, athlete block fields, intake state, and the `effective` vs `raw` distinction with their practical meaning.

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; baseline 4 is appropriate. The description correctly focuses on return structure rather than inventing parameter guidance.

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?

States a specific verb and resource: read the athlete's profile. It enumerates the concrete contents (FTP, thresholds, HR, zone model, athlete block, intake, effective/raw), so the agent can distinguish it from update_athlete_profile and from other get_* tools.

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?

Gives clear usage context: use the profile data to right-size volume, ramps, and fuelling. It does not explicitly say when to use this versus siblings like get_context or get_athlete_file, and its mention of update_athlete_profile is about passing flags rather than an alternative selection rule.

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