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

Annotations cover readOnlyHint and openWorldHint, but the description adds substantial non-annotation context: the default limit=1000, that limit is validated positive, and critically that the response is a JSON ARRAY (verified live) with an explicit field list rather than a single object. The endpoint path and hyphenated query-param details are lower value for an agent but do not contradict 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 purpose sentence is properly front-loaded, and the array-shape warning earns its place. But the middle clause packs low-level HTTP implementation detail (endpoint path, hyphenated query params, literal "true") that is not actionable for tool selection or invocation, adding noise to an otherwise tight definition.

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 no output schema, the description correctly compensates by disclosing the return shape (an array of club entries with named fields), and annotations already cover the read-only/open-world safety profile. For a 1-param read tool this is close to complete; only error/timeout behavior is left unaddressed.

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 0% for the single 'limit' parameter, so the description carries the burden — and it does: it gives the default (1000) and states the value is validated positive. That is meaningful semantics beyond the bare number type in the schema, though it omits units/upper bounds.

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 a specific resource with a scope qualifier ('Per-club golf stats'), which is enough to separate it from the sibling golf tools (get_golf_user_stats, get_golf_summary, get_golf_shot_data, get_golf_scorecard) since 'per-club' scopes it to club-level data. However, it never explicitly names those alternatives, so differentiation is left to inference.

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?

There is no when-to-use/when-not guidance and no mention of any alternative tool. The agent must infer from 'per-club' that this is the club-breakdown variant rather than the user- or shot-level stats. Nothing routes the agent between this and the other get_golf_* tools.

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