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bmurdock

Scryfall MCP Server

by bmurdock

analyze_deck_composition

Evaluate deck composition, mana curve, and card types for Magic: The Gathering decks. Receive balance recommendations tailored to specific formats and archetypes.

Instructions

Analyze deck composition, mana curve, card types, and provide balance recommendations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commanderNoCommander card name (for Commander/Brawl formats)
deck_listYesList of card names in the deck, one per line or comma-separated
formatNoFormat to analyze for (affects recommendations)
strategyNoDeck strategy archetypeunknown
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions analysis and recommendations but doesn't disclose behavioral traits like whether this is a read-only operation, computational requirements, rate limits, or what the output format looks like. For a tool with 4 parameters and no annotations, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is a single, efficient sentence that front-loads the core functionality. Every phrase ('analyze deck composition, mana curve, card types, and provide balance recommendations') earns its place by specifying what the tool does without unnecessary elaboration.

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

Completeness2/5

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

Given no annotations, no output schema, and 4 parameters, the description is incomplete. It doesn't explain what the analysis output includes, how recommendations are structured, or any behavioral constraints. For a complex analysis tool with multiple inputs, this leaves significant gaps for an AI agent to understand tool behavior.

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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds marginal value by implying that 'format' affects recommendations and 'strategy' relates to archetype, but doesn't provide additional semantics beyond what's in the schema descriptions. Baseline 3 is appropriate when schema does the heavy lifting.

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 clearly states the tool analyzes deck composition, mana curve, card types, and provides balance recommendations, which is a specific verb+resource combination. However, it doesn't explicitly distinguish this from sibling tools like 'validate_brawl_commander' or 'suggest_mana_base' that might overlap in deck analysis functions.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'batch_card_analysis' or 'search_format_staples'. The description implies usage for deck analysis but doesn't specify prerequisites, exclusions, or comparative contexts with sibling 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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