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twjackysu

TWSE MCP Server

get_companies_with_refineries_in_populated_areas

Identify listed companies with refineries located in populated areas by filtering out zero or N/A values from Taiwan Stock Exchange data.

Instructions

Get all listed companies that have reported refineries in populated areas (excluding zero or N/A values).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 mentions filtering criteria ('excluding zero or N/A values') but does not disclose behavioral traits like data source, update frequency, rate limits, authentication needs, or potential side effects. For a tool with no annotations, this leaves significant gaps in understanding its operation.

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, efficient sentence that directly states the tool's purpose without any redundant or verbose language. It is front-loaded and appropriately sized, making it easy to parse quickly.

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?

Given the tool has 0 parameters, 100% schema coverage, and an output schema exists, the description is minimally adequate. However, with no annotations and a lack of behavioral context (e.g., data freshness, error handling), it falls short of being fully complete for informed agent use, though the output schema mitigates some gaps.

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?

The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description does not add parameter semantics, which is appropriate here, and the baseline score for 0 parameters is 4, as it avoids unnecessary complexity.

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 action ('Get all listed companies') and the specific criteria ('that have reported refineries in populated areas, excluding zero or N/A values'), making the purpose explicit. However, it does not explicitly differentiate from sibling tools, which all start with 'get_' and target various company attributes, though the specificity of 'refineries in populated areas' inherently distinguishes it.

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, such as which sibling tools might overlap or serve similar purposes. It lacks any mention of prerequisites, exclusions, or contextual triggers for invocation, leaving usage entirely implicit.

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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