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narumiruna

Taiwan Legislative Yuan MCP Server

get_law_content

Retrieve detailed information about a specific Taiwanese law article by providing its unique content ID.

Instructions

取得特定法條的詳細資訊。

Args:
    law_content_id: 法條編號,例:90481:90481:1944-02-29-制定:0

Returns:
    str: JSON 格式,包含該法條的詳細資訊。

Raises:
    例外時回傳中文錯誤訊息字串。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
law_content_idYes法條編號,例:90481:90481:1944-02-29-制定:0

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Description states it returns a JSON string and raises exceptions with Chinese error messages, but lacks information on side effects, authorization, or performance. Since annotations are absent, more behavioral context would be beneficial but not critical for a simple getter.

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?

Description is extremely concise with two sentences plus structured Args/Returns/Raises. No superfluous information.

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

Completeness4/5

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

For a single-parameter retrieval tool with an output schema, the description adequately covers the function. The return format is specified as JSON, and error handling is noted. Could mention the output structure briefly, but output schema compensates.

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?

The sole parameter law_content_id is described in the input schema (100% coverage) and the description repeats this description without adding new meaning, so baseline score applies.

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?

The description clearly states the tool retrieves detailed information of a specific law article using a law_content_id. It is distinct from sibling tools like get_law (likely law-level info) and get_law_version.

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 guidance on when to use this tool versus alternatives such as get_law or list_law_contents. No context for prerequisites or when not to use.

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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