get_race_predictions

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

With no annotations, the description carries the full burden. It adds useful context by stating that predictions are based on recent training data and VO2 max, which clarifies the behavior. However, it does not explicitly state that the tool is read-only or describe any limitations or freshness expectations.

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 compact and front-loaded, leading with a clear action and resource, followed by a precise list of returned distances. Every sentence adds useful information with no wasted words.

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 parameterless read-only getter with an output schema available, the description provides all necessary invocation context: what it returns, which distances are included, and the data basis (training data and VO2 max). Nothing essential for selecting and calling the tool is missing.

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 has zero parameters and the input schema is empty, so the baseline is 4. There is nothing for the description to clarify about parameters, and it already explains what the output represents.

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 uses a specific verb ('Get') and a specific resource ('predicted race times'), and clearly enumerates the distances returned (5K, 10K, half marathon, marathon). It does not explicitly name a sibling tool to distinguish from, but the unique output makes the purpose unambiguous.

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?

The description implies when to use the tool: when predicted finish times based on the user's current fitness level are needed. However, it provides no explicit guidance on when not to use it or which alternative tools might be more appropriate for related metrics like training status or VO2 max trends.

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