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wasintoh

line-oa-mcp-ultimate

by wasintoh

Find LINE sticker by mood/keyword

line_find_sticker
Read-onlyIdempotent

Search for LINE stickers by mood or keyword in Thai or English. Returns package and sticker IDs to send in messages.

Instructions

Find LINE stickers from a curated catalog by mood or keyword. Both Thai and English search terms are supported.

LINE only allows bots to send stickers from a limited official list. This tool lets agents pick stickers by intent ("celebration", "ขอบคุณ", "sorry") rather than guessing IDs.

Args:

  • query: Mood or keyword. Examples: "ขอบคุณ", "celebration", "sorry", "love".

  • limit: Number of suggestions (1-20). Default 5.

  • response_format: 'markdown' (default) | 'json'.

Returns: { query, count, stickers: [{ package_id, sticker_id, moods, keywords_th, keywords_en, description }] }

Pass the chosen package_id + sticker_id to line_send_message: { message: { sticker: { package_id, sticker_id } } }

Examples:

  • "หา sticker ขอบคุณ" → { query: "ขอบคุณ" }

  • "celebration sticker" → { query: "celebration" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesMood or keyword (Thai or English). Examples: "ขอบคุณ", "celebration", "sorry", "ดีใจ".
limitNo
response_formatNomarkdown
Behavior4/5

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

Annotations indicate readOnly, non-destructive, idempotent. The description adds context about the curated catalog and the return format, enhancing understanding beyond annotations. No contradictions.

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?

Description is well-structured with Args and Returns sections. While slightly lengthy, it front-loads the essential purpose and is efficient in conveying necessary information.

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

Completeness5/5

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

Given no output schema, the description comprehensively lists return fields and how to use them with another tool. It covers all parameters and usage scenarios, making it complete for agent invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 33%, but description provides examples for query and explains limit and response_format. It compensates by offering real-world examples and details about the return structure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool finds LINE stickers by mood/keyword, supported in Thai and English. It distinguishes from siblings by explaining the context of LINE's limited sticker list and the need to map moods to IDs.

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

Usage Guidelines4/5

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

The description explains when to use this tool (to pick stickers by intent) and provides a clear example of passing the result to line_send_message. It does not explicitly list when not to use, but the purpose is specific enough.

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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