analyze_driver_performance

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal information. It states the tool analyzes performance but doesn't describe what the analysis entails (e.g., metrics returned, format of results, potential errors, or data sources). For a tool with four required parameters and no output schema, this lack of behavioral context is a significant 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 description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded with the core action and resource, making it easy to parse. Every part of the sentence contributes to understanding the tool's function.

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?

Given the complexity of a performance analysis tool with four required parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what the analysis returns, how results are structured, or any behavioral aspects like error handling. The schema covers inputs well, but the description fails to address the tool's output and operational context adequately.

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 description adds no parameter-specific information beyond what the input schema provides, which has 100% coverage with clear descriptions for all four parameters. Since the schema fully documents the parameters, the baseline score of 3 is appropriate. The description doesn't compensate for any gaps, but none exist in the schema.

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 the action ('analyze') and resource ('driver's performance in a Formula One session'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'compare_drivers' or 'get_session_results', but the focus on individual driver analysis is implied. The description avoids tautology by specifying what is being analyzed beyond just the tool name.

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 provides no guidance on when to use this tool versus alternatives like 'compare_drivers' or 'get_session_results'. It doesn't mention prerequisites, such as needing valid identifiers, or contextual factors like data availability. The agent must infer usage from the tool name and parameters alone, which is insufficient for optimal selection.

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