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Yu-gi-oh! Assistant - Multipurpose MCP

Yu-gi-oh! Assistant - Multipurpose MCP

ygo_read_and_validate_docx

Validate a Master Specification DOCX for data integrity, duplicate IDs, Omega int32 ID ranges, Setcode, and str1..str16 choice strings against a target simulator.

Instructions

Parse and validate the Master Specification DOCX: data integrity, duplicate IDs, Omega int32 ID range, Setcode and the str1..str16 choice strings.

Input Schema

NameRequiredDescriptionDefault
docxPathYesPath to the .docx file to validate
targetSimulatorNoTarget simulator to validate against

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.10.0

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description must carry the full behavioral burden. It does disclose concrete validation scope (duplicate IDs, Omega int32 range, setcodes, str1..str16 strings), which is genuinely useful, but it never states whether the file is modified or left untouched, what a failed validation looks like, or whether the tool repairs anything. 'Parse and validate' implies read-only, but that is inference rather than disclosure.

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?

A single dense sentence with the verb and resource front-loaded and the validation checklist following. Each listed check adds real information rather than padding, though the colon-separated list reads more like a feature dump than a structured statement of behavior.

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 two-parameter validation tool with no annotations and no output schema, the description should say what the caller gets back (a report? a boolean? a list of violations?) and whether the source file is touched. It covers what is checked but leaves the result contract and side-effect profile unstated, which is a meaningful gap for a validator.

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%, so both docxPath and targetSimulator are already documented in the schema, making 3 the baseline. The description mentions the Omega int32 range check, which partially hints at the targetSimulator enum's effect, but it never explains what 'edopro' or 'generic' change about validation. No meaning is added beyond the schema.

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?

States a specific verb pair (parse and validate) applied to a specific resource (the Master Specification DOCX) and enumerates the checks performed: data integrity, duplicate IDs, Omega int32 ID range, Setcode, and str1..str16 choice strings. No sibling performs DOCX validation, so an agent can distinguish it from ygo_create_archetype_docx or ygo_consistency_lab without opening the schema, though the description never explicitly contrasts them.

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?

There is no when-to-use guidance, no mention of prerequisites (e.g., that the file must already exist locally or be a Master Specification format), and no routing to alternatives such as ygo_consistency_lab or ygo_check_legality for related validation work. The agent must infer the triggering situation entirely from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.