get_mlb_game_pace

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 tool retrieves data ('Get'), implying a read-only operation, but does not specify if it requires authentication, has rate limits, or details about the return format beyond 'dict: Game pace statistics.' For a tool with no annotations, this leaves significant gaps in understanding its operational behavior.

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 appropriately sized and front-loaded, with the core purpose stated first, followed by structured sections for Args and Returns. It avoids unnecessary verbosity, though the Args section could be more integrated into the main text for better flow.

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 low complexity (2 parameters, no nested objects) and the presence of an output schema (implied by 'Returns: dict'), the description is somewhat complete but lacks depth. It covers basic purpose and parameters but misses behavioral context and usage guidelines, which are important for effective tool selection and 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 adds minimal semantics: it explains that 'season' is a season year and 'sport_id' defaults to 1 for MLB. With 0% schema description coverage and 2 parameters, this provides some clarification beyond the bare schema. However, it does not fully compensate for the lack of schema descriptions, such as explaining what 'game pace statistics' entail or valid ranges for parameters.

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 the tool's purpose: 'Get game pace statistics for a given season.' It specifies the verb ('Get'), resource ('game pace statistics'), and scope ('for a given season'). However, it does not explicitly differentiate from sibling tools like 'get_mlb_schedule' or 'get_mlb_standings', which also retrieve season-related data, leaving some ambiguity about when to choose this specific tool.

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 provides no guidance on when to use this tool versus alternatives. It mentions the default sport_id for MLB but does not explain why one would use this tool over other MLB-related siblings like 'get_mlb_schedule' or 'get_mlb_standings'. There is no context on prerequisites, exclusions, or comparative use cases.

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