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Metis ยท Data Analyst โ€” List Supported Formats

list_supported_formats

Check supported dataset formats and installed library versions for pandas, openpyxl, and pyreadstat.

Instructions

List supported dataset formats and installed library versions.

Returns a JSON object with supported extensions, read/write capabilities, and the versions of pandas, openpyxl, and pyreadstat installed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description adequately discloses behavior: it returns a JSON object with specified fields. It does not mention side effects, but none are expected for a read-only list tool. No contradictions with 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?

Two concise sentences with no unnecessary words. The first sentence front-loads the action and subject, making it efficient and clear.

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?

For a zero-parameter tool with an output schema, the description covers all essential aspects: what is listed and the return structure. No further context is needed.

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 no parameters, and schema coverage is 100%. The description adds value by detailing the return format (extensions, capabilities, versions), which is absent from the schema.

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 lists supported dataset formats and library versions, with specific verb 'List' and resource. It differentiates from sibling tools like get_library_stats by focusing on formats and versions.

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

Usage Guidelines3/5

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

The description does not provide when to use this tool versus alternatives or any exclusions. Usage is implied as a straightforward informational listing, but explicit context is missing.

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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