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

Annotations already cover read-only and open-world behavior, and the description adds meaningful operational context: ESPN as the source, $0.002 USDC pricing via x402, and that failed calls are not charged. It does not describe rate limits or freshness timing, but it substantially informs invocation 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 purpose and scope are front-loaded, and the pricing note is clearly separated. The sentence about the route name is slightly meta but justified by the confusing tool name; overall it is efficient and focused.

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?

For a simple one-parameter standings lookup with an output schema and annotations present, the description supplies everything needed: data source, returned fields, conference orientation, payment terms, and a clarification about the misleading route name.

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 100%, and the single conference parameter is fully documented in the schema. The description adds only the general phrase “per conference” and does not provide additional enum or default detail beyond the schema.

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 resource and action: current MLS standings from ESPN’s public feed, with the exact fields returned. It also explicitly distinguishes the tool from its real-estate siblings, preventing name-based confusion.

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 clearly establishes the use case as retrieving current MLS standings by conference. It also gives a useful exclusion by noting this is not a real-estate dataset, though it does not name alternative sources or conditions for choosing them.

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