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Yuikij

mcp-turtle-noir

by Yuikij

start_session

Start a new lateral thinking puzzle session. Automatically detects language; optionally specify region, difficulty, or keyword.

Instructions

Start a new Turtle Soup session. Detect user language and pass language (zh-CN/en-US/ja-JP). Optional: region, difficulty, keyword.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNoOptional region code, e.g. US/CN/JP
keywordNoOptional fuzzy keyword on title/surface/tags
languageNoUser language for localized response, e.g. zh-CN/en-US/ja-JP
difficultyNoOptional difficulty preference
Behavior2/5

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

No annotations provided, so description must carry full burden. It only mentions session start and parameters, lacking details on side effects, state, or prerequisites.

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?

Two sentences, front-loaded with action. Efficient but could be clearer about the detection behavior.

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?

No output schema, minimal description. Does not explain what a session is, what it returns, or what happens on start. Incomplete for a 4-parameter tool.

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%, baseline is 3. Description adds little beyond listing parameters; the mention of 'detect user language' could contradict schema which marks language as optional.

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?

Clearly states it starts a new Turtle Soup session and lists parameters, but the phrase 'Detect user language and pass language' is ambiguous about whether detection is automatic or manual.

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 explicit guidance on when to use this tool compared to siblings (ask_question, give_up_and_reveal). Usage is implied but not clarified.

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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