Get Weather

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

No annotations, so the description carries the full behavioral burden. It does disclose a meaningful trait — data sampled every minute — which tells the agent the resolution of the returned series. However, it omits access/scope prerequisites, how session_key and meeting_key interact, and whether unfiltered calls return everything or nothing useful.

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?

A single tight sentence with the source and cadence front-loaded and no filler. It is concise, though arguably too terse for a tool with 14 parameters and no other prose to carry the gaps.

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?

An output schema exists, so return-value explanation is not needed. But with 14 optional parameters, 14% schema coverage, no annotations, and no usage guidance, the description is far too thin to let an agent understand how to scope a query or what the range filters do.

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?

Schema description coverage is only 14% — just meeting_key and session_key are documented, leaving 12 filter parameters (all the _min/_max range filters) unexplained. The description adds nothing about filtering semantics, so it fails to compensate for the coverage gap on a 14-parameter tool.

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 (Fetch) and resource (weather conditions over the track), and names the data source (OpenF1) with sampling cadence. It's clearly distinct from siblings like get_laps or get_car_data, though it never explicitly differentiates itself or notes what weather fields are returned.

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?

No when-to-use guidance, no mention of how to scope the query (meeting_key vs session_key vs date range), and no exclusions. An agent must infer from the schema alone which of the 14 optional filters to combine, with zero routing help.

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