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

The annotations already mark the tool readOnly, idempotent, and non-destructive, so the bar is lower. The description adds meaningful context with 'meta.estimated: true — derived from available fixture data', which warns that results are approximations based on fixture history rather than a separate authoritative source. No disclosure contradicts the 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 compact and front-loads the core purpose in the first sentence. The Returns section is useful, but the Args block duplicates the input schema and is unnecessary. Overall it is well-structured with no meaningful bloat beyond that redundancy.

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 one-parameter read-only tool with an output schema and full schema coverage, the description covers behavior, return shape, and estimation semantics. It tells the agent what the team argument is, what data comes back, and that the data is estimated from fixtures. Nothing essential is missing.

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% and the single 'team' parameter is documented with examples in the schema. The description's Args section merely restates the schema, adding no extra normalization, casing, or alias semantics. Baseline 3 is appropriate because the schema does the heavy lifting.

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 opening line 'Return rolling form, goal record, and xG trend for a football team' names a specific verb, resource, and output scope. It is distinguishable from football_get_match_stats and football_xg_model by the 'rolling form' focus, but it does not explicitly contrast itself with those siblings.

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 when-to-use or alternative guidance is present; the tool is described only by its output. The usage context is implied by the 'team' argument and return fields, but the description does not state when to prefer this over football_xg_model or football_get_match_stats. This is adequate inference-level guidance, not explicit routing.

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