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

Annotations already mark it read-only and open-world; the description adds meaningful non-schema behavior: ESPN as the data source, x402 payment at $0.002 per successful call, and no charge for failed calls. It does not cover rate limits or payment-failure handling, so not a 5.

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?

Front-loaded with the core resource and views, and every clause carries information about scope, output fields, data source, or pricing. The single long sentence is dense but not padded.

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?

With annotations, a full input schema, and an output schema, the description supplies the remaining essentials: data source, payment model, view behavior, and season applicability. Sibling choice remains the main omission, but the structured fields cover much of the rest.

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 coverage is 100%, establishing a baseline of 3; the description adds the useful restriction that scorers/assists are current-season only while season applies to tables. It also sketches returned fields, though those are output semantics rather than parameter semantics.

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?

States the resource and scope precisely: soccer stats for 16 named leagues, with league table or top scorers/assists views. It does not name sibling tools to prefer or avoid, so it stops short of full differentiation.

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?

Explains the two usage modes and notes that scorers/assists are current-season only while tables accept any season, which gives some context. It provides no explicit when-to-use, when-not-to-use, or alternative-tool guidance despite many sports siblings.

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