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

No annotations are provided, so the description carries the burden. It usefully reveals that results are limited to {id,title,url} and that the full prediction lives behind fetch. However, it does not mention behavior for missing/empty queries, result limits, errors, or visibility constraints.

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?

Two sentences with no filler. The core action appears first, and the key output and follow-up behavior appear in the second sentence.

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 single-parameter search tool with no output schema, the description is nearly complete: it gives the purpose, result shape, and next step. The main gap is that the schema does not require query, and the description doesn't clarify what an omitted query returns.

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 100%, with the query parameter already described as the team or league to search. The description adds no meaningful parameter semantics beyond what the schema provides.

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 action and resource: 'Search upcoming match predictions' and gives the output shape as {id,title,url}. It also points to fetch for full predictions, which helps differentiate, though it doesn't contrast with similarly named siblings like get_predictions.

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 to 'use fetch(id) for the full prediction,' so an agent knows search returns previews and when to switch tools. It does not mention alternatives like get_predictions or when to avoid search, so some routing guidance is missing.

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