Skip to main content
Glama

Cito API

leaderboard_break_conversion

Read-only

Tennis season break-conversion leaderboard: Share of break opportunities converted per player, from real match-stats aggregates read return-side, ordered highest pct first.

When to use:

  • Share of break opportunities converted per player, from real match-stats aggregates read return-side, ordered highest pct first. season tables; clutch/serve-efficiency leader queries.

Prefer over: raw leaderboard via call_api for agent-normalized rows.

Do not use when: ranking position → standings with game tennis; week-over-week movement → rankings_movers; one player's recent form → player_form.

Tennis-only. Season defaults to 2026; tour (ATP|WTA) is optional — omit it for the combined board. Only players with at least 50 break opportunities qualify.

Parallel-safe: yes. Upstream cost: 1.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gameYesGame title: lol | cs2 | dota2 | cod | ufc | tennis. Example: "cs2".
tourNoATP or WTA tour; omit for the combined board. Synonym: division.
limitNoMax items to return (default 10, max 100). Example: 10.
seasonNoSeason year (YYYY). Default 2026.
divisionNoSynonym for tour (ATP or WTA), matching the standings tool spelling.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYestrue if the tool succeeded
dataNoResult payload when ok is true; null on error
metaYes
errorNo
partialNo
paginationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already mark readOnlyHint, openWorldHint, and destructiveHint. The description adds useful context: 'Parallel-safe: yes', 'Upstream cost: 1', an eligibility threshold (50 break opportunities), and default season/tour behavior. The phrase 'read return-side' is ambiguous, and there is no mention of pagination or output size limits beyond schema defaults, so a 5 is not warranted.

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 and sections are clearly labeled, but the main sentence is duplicated verbatim in the When-to-use section. Some phrasing like 'read return-side' is awkward and the bullet 'season tables; clutch/serve-efficiency leader queries' adds little. It could be tightened without losing information.

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?

Covers the eligibility threshold, tennis-only scope, optional tour, season default, and parallelism. The presence of an output schema relieves the need to document return values. Minor gaps remain: game selection guidance is left to the schema enum, and 'read return-side' is unclear. Overall, the definition provides enough for correct invocation.

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?

The schema covers all 5 parameters at 100% with descriptions, examples, defaults, and an enum for game. The description adds the 'omit tour for the combined board' nuance and repeats the season default, but it does not materially expand on parameter meanings. Baseline 3 is appropriate given the high schema coverage.

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

Purpose5/5

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

States a specific metric (share of break opportunities converted) with a clear resource (tennis season leaderboard) and ordering (highest pct first). It is distinct from the sibling leaderboard_break_points_saved because it focuses on conversion rather than saves. The tennis-only scope and season default further pin down intent.

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

Usage Guidelines5/5

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

Explicit 'When to use' section lists use cases and a 'Do not use when' section names specific sibling tools (standings, rankings_movers, player_form) with conditions. It even suggests preferring this over call_api for agent-normalized rows. An agent needs no inference to decide when to invoke it.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources