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j4th
by j4th

draft_log_review

Read-onlyIdempotent

Review your completed draft log with pick-by-pick win rate analysis, highlighting missed high-win-rate cards, pivot points, and a draft grade.

Instructions

Review a completed draft — pick-by-pick GIH WR analysis and key decision points.

Identifies where you could have taken a higher-WR card, pivot points, and overall draft grade.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
picksYesCards drafted in order (pack 1 pick 1 through pack 3 pick 14)
set_codeYesThree-letter set code (e.g. 'LCI', 'MKM')
final_deckNoFinal deck submitted — enables 'made the deck' analysis
response_formatNoOutput verbosity: 'detailed' (default) or 'concise'detailed
Behavior4/5

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

Annotations declare readOnlyHint=true and idempotentHint=true, consistent with the non-destructive 'Review' verb. The description adds that the analysis uses GIH WR and identifies pivot points, providing useful behavioral context beyond 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 sentences, front-loaded with the primary purpose, followed by a list of key outputs. No unnecessary words, efficient for an AI agent to parse quickly.

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?

Given the comprehensive schema annotations and safety annotations, the description adequately covers the tool's functionality for a review tool. It doesn't explain 'GIH WR' but that is domain-specific. The return format is handled by the response_format parameter.

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 100% with detailed parameter descriptions for picks, set_code, final_deck, and response_format. The description does not add new meaning beyond these, so baseline of 3 is appropriate.

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 reviews a completed draft with pick-by-pick analysis and mentions specific outputs like GIH WR analysis and decision points, effectively distinguishing it from siblings like draft_pack_pick which is for in-draft decisions.

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 description implies use after completing a draft for analysis but does not explicitly exclude other scenarios or mention alternatives; however, the context of 'completed draft' is clear enough.

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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