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RallyIQ

Tennis player scouting report

get_player
Read-onlyIdempotent

One charted player's scouting report, found by name: serve and return points won against an average opponent, shot ratings per 100 shots (direction choice, shot selection, execution, long rallies, points left on the table) with tour percentiles, first-serve direction habits per court including on break points, how exploitable the serve is and the optimal mix, the shots they hurt opponents with most and the shots they are most exposed to, best-equipped opponents, stylistically similar players and recent charted matches. When the name matches several players it returns the best match and lists the others.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe player, e.g. "Jannik Sinner", "Swiatek", "Alcaraz". Misspellings and surnames alone are fine.
tourNoRestrict the name search to one tour when a surname is shared (e.g. Williams).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld=false, so safety is covered. The description adds genuinely useful behavior beyond that: it discloses the ambiguous-name resolution rule (returns best match, lists the others) and thoroughly describes what the report contains, which matters given there is no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded in the first clause, which is good, but the payload is a single sprawling comma-list that is hard to scan and restates return contents at length. Every item may be relevant given no output schema, but the structure is dense rather than economical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of describing return values and does so comprehensively, plus it explains the multi-match disambiguation. The main gap is the absence of any sibling routing guidance for a tool with three plausible alternatives.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters are already documented, including the enum on tour and the surname/misspelling tolerance. The description adds nothing beyond 'found by name', so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource — 'One charted player's scouting report, found by name' — and enumerates the report's contents in detail. The richness of the field list distinguishes it from get_leaders (leaderboards) and get_game_plan, but it never names a sibling explicitly, so it falls short of the 5 bar.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to reach for this tool versus get_game_plan, get_leaders, or explain_match, and no prerequisites or exclusions. The only routing-like note ('when the name matches several players...') describes return behavior, not usage context.

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

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