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gregario

onepiece-oracle

analyze_cost_curve

Analyze One Piece TCG deck cost distribution to optimize card selection and resource management.

Instructions

Analyze the cost curve of a One Piece TCG deck list. Shows cost distribution, color breakdown, and card type spread.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deck_listYesDeck list as text. Format: "4 Monkey.D.Luffy" or "4x OP01-001" per line.
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but doesn't reveal important behavioral traits like whether it's read-only, requires authentication, has rate limits, or what format the analysis output takes. The description is functional but lacks operational context.

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?

The description is extremely concise - a single sentence that efficiently communicates the tool's purpose and three specific outputs. Every word earns its place with zero wasted text or redundancy.

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

Completeness3/5

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

For a single-parameter analysis tool with no output schema, the description adequately covers what the tool does but lacks completeness about the analysis output format, potential limitations, or how results are structured. It's minimally viable but leaves important contextual gaps.

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% for the single parameter 'deck_list', so the schema already documents the parameter fully. The description doesn't add any parameter-specific information beyond what's in the schema, meeting the baseline expectation when schema coverage is high.

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 cost curves for a specific resource (One Piece TCG deck lists) and specifies three outputs: cost distribution, color breakdown, and card type spread. However, it doesn't differentiate from sibling tools like 'browse_sets' or 'search_cards' which might also provide deck-related information.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, when not to use it, or how it differs from sibling tools like 'search_cards' or 'find_counters' that might also handle deck analysis.

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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