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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so safety is covered. The description adds that the output is an explanation of the competition and its scoring format, but says nothing about lookup failure behavior for unknown names, which matters for a name-keyed lookup.

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?

Two short sentences: the first states the outcome, the second the calling constraint. Nothing is redundant or buried.

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 single-parameter, read-only lookup with full annotation coverage, the definition is nearly sufficient: it states the input source and what the response explains. Only unknown-name error behavior is unaddressed, which is a minor gap given there is no output schema.

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 parameter description already names the source (list_games) and gives examples like Gross Skins. The description's "Pass a name returned by list_games" largely duplicates the schema, so the baseline 3 applies rather than added value.

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 uses a specific verb and resource ("Explain one Grey Tabby Golf competition and how it is scored") rather than restating the tool name. It implicitly separates itself from list_games by requiring a name that list_games returns, though it never explicitly says to use list_games first for discovery.

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?

It gives a clear precondition — call this with a name returned by list_games — which effectively establishes the list-then-detail workflow. It stops short of stating exclusions or what to do when the competition name is unknown or ambiguous.

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