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

Annotations already mark it read-only and non-destructive, and the description adds meaningful behavioral detail: it queries independent data providers, reaches consensus, and returns an ML-DSA-65 signed receipt anchored on Base. It also discloses the $0.50 USDC cost per call, going beyond the structured annotations.

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 short and front-loaded with the core purpose and use case. The only real waste is the duplicated price phrase, '$0.50. $0.50 USDC per call,' which is minor and does not significantly hurt clarity.

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?

The description covers purpose, use case, supported sports, receipt output, and cost, which is solid for a read-only tool. However, with no output schema, five parameters, and sibling tools that also touch game outcomes, explicit guidance on team/date formats and a clearer contrast with get_resolve_game_outcome or the get_sports_* score tools would make it more complete.

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 needed to compensate, but it only names high-level sports categories and does not explain home_team, away_team, game_date, or competition conventions. The supported-sports line also does not map cleanly to the enum values like americanfootball_nfl or soccer_epl, leaving an agent with little parameter-level guidance.

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 states a specific verb and resource: multi-source verification of game outcomes with consensus on final score/winner and a cryptographic receipt. It clearly differentiates from siblings like get_sports_nfl_scores by emphasizing trustless proof and dispute resolution rather than simple score lookup.

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 gives an explicit when-to-use context: prediction market or betting agent needing trustless proof for dispute resolution. It does not name alternatives or provide exclusion criteria, but the context is clear enough to route an agent effectively.

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