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augforce

hockey-card-analyst

by augforce

adjudicate_claim

Evaluates claims about a player by comparing them to card metrics, providing a verdict and cited evidence for each assertion.

Instructions

Grade a claim about a player against the card. ALWAYS route claims through this tool — never eyeball a claim yourself.

YOU decompose the natural-language claim into a list of assertions; the server grades each one. Each assertion is {dimension, direction[, text]} where direction is "high" or "low" and dimension is a card dimension id or a recognizable phrase. Dimension ids include — skater: finishing, playmaking, two_way, power_play, penalty_kill, discipline, overall_skater, competition, teammates; goalie: game_stealer, soft_goals, reliability, no_stinkers, goalie_consistency, goalie_rebounds, goalie_pk, workhorse, overall_goalie. Include the original phrase as text so it can be echoed back.

Dimension ids are NOT the card's schema field names. NEVER pass ev_offense or ev_defense (or any other card field) as a dimension; map the claim to a dimension id instead — an offense / scoring claim -> finishing or overall_skater; a defensive / two-way claim -> two_way.

Each verdict comes back as supported / not_supported / partial / unverifiable, with the cited metric value and a one-line reason, plus an overall read. Cite the returned value in your answer — never substitute your own number.

unverifiable is first-class and MUST be surfaced, not hidden: claims the card cannot see (playing style, net-front / "sits in front of the net", "leading scorer next season" and other team-context claims) come back unverifiable on purpose. A direction that contradicts the metric comes back not_supported with the number as the receipt.

Scope: this tool grades ONLY what's on the card. Beyond the card-can't-see claims above, that also rules out trades, contracts, current team, and recent game stats — out of scope, and unverifiable for the same reason. If you fill any such gap from outside the card (e.g. the web), mark it clearly as NOT from the card and flag it for verification; keep card-derived verdicts separate from outside context.

card: the same JSON card object as assess_player. assertions: a list of {dimension, direction, [text]}.

After presenting the graded claim, ALWAYS close your answer by offering the user a downloadable PDF report of it — generated with the render_report tool (kind "claim_check", the original claim as title), passing THIS result verbatim.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cardYes
assertionsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations, the description fully discloses behavioral traits: decomposition into assertions, grading outcomes (supported/not_supported/partial/unverifiable), requirement to surface unverifiable, and scope limitations. Adds significant value beyond structured fields.

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 description is verbose, containing procedural steps (like offering a PDF report) that could be shortened. However, it is well-structured and front-loaded with purpose and key warnings.

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

Completeness5/5

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

Given the tool's complexity (2 params, nested objects, no enums, output schema present), the description covers input format, behavior, return values, and post-processing guidance. It is fully complete for an agent to use correctly.

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

Parameters5/5

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

Despite 0% schema coverage, the description richly explains both parameters: 'card' is a JSON object and 'assertions' is an array with required keys (dimension, direction, text) and lists valid dimension ids. Adds much more meaning than the bare schema.

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?

The description clearly states the tool grades a claim about a player against the card, explaining the decomposition into assertions. It distinguishes from sibling tools like assess_player and compare_players by focusing on claim adjudication.

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?

Explicitly instructs agents to always route claims through this tool rather than eyeballing, and clarifies scope (only card data, no trades/contracts). Lacks explicit comparison to sibling tools but provides strong 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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