load_session

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

No annotations are provided, so the description carries the full burden. It discloses the prerequisite behavior ('Must be called before other tools') and the fuzzy matching behavior for race and session names. It does not describe side effects, idempotency, or data loading details, but for a loading tool, this is adequate.

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 with an introduction, usage guidance, and an Args section. Every sentence serves a purpose, and the format makes it easy to parse.

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 tool's complexity (3 parameters, a prerequisite, and an output schema), the description covers all essential aspects: when to use, parameter details, fuzzy matching, and the prerequisite. The output schema exists, so no need to explain return values.

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 input schema has 0% description coverage, so the description must compensate. It does so thoroughly by explaining each parameter: year (e.g., 2024), race (fuzzy matched, examples given), and session (default 'race', fuzzy matched, options enumerated). This adds significant meaning beyond the schema property titles.

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 loads an F1 session for analysis and must be called before other tools. It specifies the verb 'load' and the resource 'F1 session', and the context differentiates it from sibling tools which operate on an already-loaded session.

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 explicitly says 'Use this when the user mentions a specific race, GP, or session they want to analyze.' It provides examples of fuzzy matching, which helps the agent map user input to parameters. However, it does not mention when not to use it or provide comparisons to sibling tools like 'season_calendar' or 'race_result', which could be used for information without loading a session.

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