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

With no annotations, the description partially compensates by revealing accuracy, comparison to naive extrapolation, and pay-per-call pricing ('x402'). However, it does not disclose behavioral traits such as input constraints (e.g., valid ranges), rate limits, or non-destructive nature. The pricing model is a useful disclosure but not exhaustive.

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?

Three sentences, front-loaded with purpose. The accuracy comparison and betting signal are relevant but could be considered slightly verbose. Overall, it is efficient and avoids wasted words.

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 no output schema and 4 parameters, the description lacks critical details: output format (e.g., return value type, units), input validation rules, and start-of-innings behavior. The pricing model is noted, but the tool's usage context for betting implies a need for more precise behavioral specification.

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% and the description provides no additional meaning for the parameters (venue, wickets, cum_runs, balls_bowled). While parameter names are somewhat self-explanatory, the description does not explain their roles, constraints, or formatting, leaving the schema entirely uninformative.

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 projects a par score or first-innings total from a mid-innings state. It differentiates itself with accuracy claims ('accurate to +/-8.6 runs') and a betting signal use case, but does not explicitly distinguish from sibling cricket tools like chase difficulty or win probability.

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 explicit guidance on when to use this tool versus alternatives. The mention of 'over/under betting signal' implies a specific use case, but there is no direction on prerequisites, exclusions, or context where other tools would be preferred.

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