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Ball Ranks

Get a player's season ranking

get_player_rankings
Read-onlyIdempotent

Look up one player's published Ball Ranks season ranking by player ID or slug. Use this when the user asks where a specific player ranks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNov0
sportYes
playerYes
seasonNo
scoring_formatNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metaYes
playerYes
seasonYes
rankingYes
sourceUrlYes
scoringFormatNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already establish this is a safe, idempotent, read-only lookup, so the description need not restate safety. It adds the useful constraint that only 'published' rankings are returned, but says nothing about behavior for unpublished/nonexistent players, ID-vs-slug resolution failures, or the default season — modest added context over the annotations.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.

Conciseness5/5

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

Two tight sentences with zero filler; scope is front-loaded before the usage cue. Every clause earns its place and nothing is repeated from structured fields.

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

Completeness3/5

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

An output schema exists, so return values need no explanation. However, with five parameters, 0% schema coverage, and three enums, the description is thin on how sport/model/scoring_format affect the result and on what happens when no ranking is published for the player.

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

Parameters2/5

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

Schema description coverage is 0%, so the description carries the full burden, yet it explains only the 'player' parameter (ID or slug). The required 'sport' enum, 'model', 'season', and 'scoring_format' enums get no semantic treatment, leaving an agent to guess at season defaults and format implications.

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 verb ('look up') and a clearly scoped resource: one player's published Ball Ranks season ranking. 'One player's' plus 'season ranking' distinguishes it from siblings get_season_rankings and get_week_rankings, which imply bulk/period listings, so an agent can tell them apart without opening schemas.

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

Usage Guidelines4/5

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

Gives an explicit trigger: 'Use this when the user asks where a specific player ranks.' That is clear positive routing guidance, but it never names the alternative tools (get_season_rankings, get_week_rankings, get_player_projections) or the conditions under which one should be preferred instead.

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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