get_race_predictions

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

There are no annotations to indicate side effects or read-only behavior. The description states that it 'Returns' predictions, which implies a read-only operation, and the tool name begins with 'get', reinforcing this. However, it does not explicitly mention that no data is modified, so it partially relies on convention. Given the absence of annotations, this score is appropriate.

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 concise and well-structured, consisting of two sentences. The first sentence is a clear summary, and the second provides essential details about the output (distances and basis). No unnecessary information is present.

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 simple getter with no parameters, the description is complete. It specifies what is returned (predictions for four race distances) and the underlying data (recent training data and VO2 max). It does not describe an output schema, but the presence of an output schema is indicated in the context, and the description is sufficient for an agent to invoke the tool correctly.

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 schema coverage is complete (100%). The description does not need to explain parameters. According to the baseline rule for 0 parameters, this scores a 4; the description adds no parameter-specific details because none exist.

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 clearly states that the tool retrieves predicted race times for specific distances (5K, 10K, half marathon, marathon) based on fitness data. It uses the specific verb 'Get' and identifies the resource ('predicted race times'), making its purpose unambiguous and distinct from sibling 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?

The description implicitly indicates when to use the tool (when the user wants race time predictions based on training data and VO2 max). It does not explicitly differentiate from alternatives, but given the tool's unique function among many getters, the usage context is clear enough. No explicit exclusions are needed.

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