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j4th
by j4th

draft_signal_read

Read-onlyIdempotent

Detect open colors in your Magic draft picks and recommend a direction based on ALSA signal analysis.

Instructions

Analyze draft picks and recommend a direction based on color signals.

Uses ALSA data to detect which colors are open (cards seen later than expected = open).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
picksYesCards already drafted, in pick order
set_codeYesThree-letter set code (e.g. 'LCI', 'MKM')
current_packNoCurrent pack contents — if provided, cards are ranked with signal context
response_formatNoOutput verbosity: 'detailed' (default) or 'concise'detailed
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds valuable context: it uses ALSA data, detects open colors, and explains the meaning of 'cards seen later than expected'. No contradictions with 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 with zero waste: the first states the main purpose, the second explains the methodology. Front-loaded and efficient.

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?

The description is complete for this read-only analytical tool: it explains core functionality, methodology, and key concepts. While output format could be hinted, it is not critical given the tool's simple return of a direction recommendation.

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?

Input schema has 100% coverage with clear parameter descriptions. The tool description does not add extra parameter-level detail beyond the schema, which is adequate given high 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?

The description clearly states the tool analyzes draft picks and recommends a direction based on color signals using ALSA data. It defines the key concept of 'open' colors, distinguishing it from sibling tools like draft_pack_pick (which picks cards) and sealed_pool_build (which builds pools).

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

Usage Guidelines3/5

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

The description implies usage for signal detection during a draft but does not explicitly state when to use this tool versus alternatives. No when-not or exclusion criteria are provided, leaving the agent to infer from sibling names.

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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