predict_lineup

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the core prediction behavior but does not explain what happens when 'team' is null, how 'lookback' affects the prediction, what the confidence values mean, whether data must be synced first, or what the response shape is. For a prediction tool with zero annotation support, this is insufficient.

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 sentence with no filler or repetition. The key meaning is front-loaded ('Predict a team's batting order 1-9'), and the data source is included efficiently. It is appropriately concise, though slightly under-specified in content.

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?

There is no output schema, no annotations, and 0% parameter coverage, so the description must provide more context. It does not explain the confidence scale, the behavior with a null team, or how 'lookback' changes results. For a tool that could easily be confused with 'suggest_batting_order', the description lacks enough surrounding context to ensure 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?

Schema description coverage is 0%, so the description must compensate, but it only indirectly references 'team' and 'recent lineup cards' (which maps to 'lookback'). It does not explain the null default for 'team', the meaning of the integer 'lookback', acceptable values, or how the parameters interact. The description adds minimal semantic value beyond parameter names.

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 uses a specific verb ('Predict') with a clear resource ('a team's batting order 1-9') and even states the output characteristic ('per-slot confidence') and data source ('recent lineup cards'). It is clear and actionable, though it does not explicitly differentiate itself from the sibling tool 'suggest_batting_order', which is similar enough that explicit contrast would help.

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 phrase 'from their recent lineup cards' implies the tool should be used when recent lineup data is available and a probabilistic prediction is desired. However, the description gives no explicit when-to-use versus alternatives, no exclusions, and does not mention that 'suggest_batting_order' might be the better choice in other scenarios. Usage context is only implied, not stated.

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