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nakamura196

Genji MCP Server

by nakamura196

genji_preview_normalization

Preview text normalization for classical Japanese literature by applying rules like repeat mark expansion and kanji-kana unification to see how historical text variations would be standardized.

Instructions

Preview how text would be normalized with current rules

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to preview normalization for
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool is a 'preview,' implying it is non-destructive and read-only, but does not disclose behavioral traits like whether it requires authentication, has rate limits, or what the output format looks like. This is a significant gap for a tool with no 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?

The description is a single, clear sentence with no wasted words. It is appropriately sized and front-loaded, directly stating the tool's purpose 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 and no output schema, the description is incomplete. It does not explain what 'normalization' entails, what the preview output includes, or how it relates to sibling tools. For a tool with one parameter but lacking structured context, this leaves gaps in understanding.

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%, with one parameter 'text' fully documented in the schema. The description adds no additional meaning beyond the schema, such as examples of normalization rules or input constraints, so it meets the baseline of 3.

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's purpose: 'Preview how text would be normalized with current rules.' It specifies the action ('preview') and resource ('text normalization'), but does not differentiate from sibling tools like 'genji_get_normalization_rules' or 'genji_search,' which prevents a score of 5.

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 does not mention sibling tools or contexts where this preview is useful, such as testing rules before applying them, leaving the agent with minimal usage context.

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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