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In-game metrics

aura_metric_series
Read-onlyIdempotent

Time series of in-game metrics for one game, such as win probability, score margin and player lines. Call without definitionId first to see which series exist.

Input Schema

NameRequiredDescriptionDefault
limitNo
cursorNo
gameIdYesAura game id from aura_list_games or aura_live_games
entityIdNoTeam or player id
definitionIdNoSeries id from a call without it

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 declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds the two-step discovery behavior around definitionId, which is useful, but says nothing about pagination, result size, or how sparse/dense the series can be.

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 short sentences, zero filler, with the data-shape statement first and the operational instruction second. Nothing could be removed 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?

For a read-only, five-parameter series tool with no output schema, the description covers what is returned (metric time series, with examples) and how to discover available series. Remaining gaps around pagination behavior and entity scoping are minor, so it is close to complete.

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 coverage is 60% and the description only elaborates on definitionId, which the schema already labels as 'Series id from a call without it'. The optional entityId ('Team or player id') and the limit/cursor pagination pair receive no clarification in the description, so it adds marginal meaning over the schema.

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?

The description names a concrete resource ('time series of in-game metrics for one game') and illustrates it with real examples (win probability, score margin, player lines), so an agent knows the shape of the data. It does not differentiate itself from similar-sounding siblings such as aura_boxscore, aura_game_frame or aura_game_plays, so it falls short of a 5.

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?

The second sentence gives an explicit workflow rule: call without definitionId first to enumerate available series. That is genuinely actionable guidance beyond 'use this tool for metrics'. It stops short of 5 because it offers no when-not guidance or comparison to the closely related frame/boxscore/plays tools.

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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