get_results_by_opponent_tier

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral detail: tiers are derived from live league standings, and tier_size has constraints (minimum 1, 2*tier_size <= league size). This goes beyond the annotations and helps the agent understand how the tool behaves at runtime.

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 concise and well-structured. The first sentence states the purpose, followed by a brief explanation of tier derivation, a use-case rationale, and an Args section. Every sentence contributes unique information; there is no redundancy or verbosity.

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 only 2 parameters, an output schema, and clear annotations, the description fully covers the tool's behavior. It explains the tier logic, constraints, and provides a comparison to manual scanning, which together give an agent complete context for 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?

With 0% schema description coverage, the description must fully explain parameters. It does: team_id is identified as an ESPN numeric team ID, and tier_size is explained with its default value and validation constraints. This adds rich meaning beyond the bare schema property names.

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 opens with a specific verb and resource: 'Get a team's W-L-T splits against current top-tier, middle, and bottom-tier teams.' This clearly states what the tool does and uniquely distinguishes it from sibling tools like get_standings or get_team_schedule by focusing on opponent-tier splits. The purpose is precise and not tautological.

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 a clear contextual use case: 'Lets you ask "how does this team do against the top of the table?" without scanning every result manually.' This implies when to use the tool, but it does not explicitly name alternative tools or state when not to use it. Because it gives meaningful usage context without exclusions, it earns a 4.

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