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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds real value by disclosing the data sources (RFEG, Badgie) and the important scope rule that course filtering removes the recency limit and returns every round hole-by-hole. It says nothing about response size, pagination, or what happens for a player with no official data, which matters for such a broad aggregate.

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?

It is a single dense paragraph that front-loads the returned content and then closes with the highest-value routing rule. The enumeration is list-like but each item corresponds to a real section of output; a slightly tighter structure with the course rule first would read better.

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?

There is no output schema, so the description carries the burden of describing returns and does so section by section, which is appropriate for a multi-part aggregate tool. The remaining gap is operational detail — volume of data returned and how the course-filtered mode behaves for users with hundreds of rounds — not conceptual coverage.

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 schema already explains partial-name matching and accent tolerance, so the baseline is 3. The description goes beyond that by explaining the semantic effect of the parameter: it narrows to one course and overrides the recency window, returning all rounds with hole-by-hole detail — behavior the schema alone does not convey.

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 enumerates concrete contents (profile + handicap, RFEG ranking, recent official tournaments with name/date/course/result, round aggregates, hole-level comparison of strokes gained/lost, badges, plus casual Badgie scorecards), so an agent knows exactly what comes back. However, it never distinguishes itself from heavily overlapping siblings such as get_handicap, get_my_competitions, get_round_history or get_player_insights, leaving ambiguity about which aggregate to pick.

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 an explicit, strongly worded trigger for the filtered mode: use it ALWAYS when the user asks about a specific course, with example phrasings ('¿cómo se me da X?', 'mis mejores hoyos en X'). What is missing is any when-not guidance or a pointer to an alternative when the user wants only handicap, only competitions, or a single round.

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