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

With no annotations, the description carries full behavioral burden. It discloses a notable trait beyond the schema: all predictions in the batch use 'one shared evidence set,' which is important for understanding result consistency. It does not explicitly state side effects or permissions, but 'predict' plus the presence of an output schema makes pure computation the natural reading.

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 sentence front-loads the action and scope and adds one meaningful behavioral clause ('using one shared evidence set'). There is no filler or repetition of schema details.

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 two-parameter tool with an output schema, the core task and inputs are fully specified. The main remaining gaps—sibling selection and preconditions—are largely addressed by the batch wording and by the output schema, so nothing essential is missing for a correct invocation.

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 mentions both required parameters ('competition' and 'UTC date'), and the schema already describes the date format. With competition lacking a schema description, the description only repeats the term rather than explaining valid values or formats, so it partially compensates but adds little beyond naming.

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 opens with a specific verb and resource ('Predict every scheduled match in a competition on a UTC date'), immediately distinguishing it from the singular sibling predict_match and the retrieval-focused siblings. It states exactly what the tool produces and for which scope.

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?

It clearly implies the batch scenario: use this when you want predictions for all scheduled matches in a competition on a given UTC date. It does not explicitly name alternatives or exclusions, but the 'every scheduled match' phrasing separates it from single-match prediction without needing further explanation.

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