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list_files

List data files in local directories or S3 prefixes, using glob patterns and recursive search to identify DuckDB-readable formats for querying.

Instructions

List data files in a directory (local, or an s3:// prefix).

Args: path: Directory or bucket prefix to list. pattern: Glob pattern for the file name, e.g. '*.parquet'. recursive: Descend into subdirectories. data_files_only: Keep only extensions DuckDB can read; set False to see everything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNo.
patternNo*
recursiveNo
data_files_onlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It explains the filtering behavior (data_files_only limiting to DuckDB-readable extensions) and the recursive option, adding meaningful context beyond the bare 'list files'. However, it does not disclose edge cases like error handling or hidden files, preventing a perfect score.

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 purpose sentence followed by a concise bulleted list of arguments. Every sentence is informative, the structure is clear and front-loaded, and there is no unnecessary verbosity.

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?

Given an output schema exists, the description doesn't need to explain return values. It covers the tool's purpose, parameters, and filtering behavior comprehensively for a simple listing tool. It could be slightly more explicit about how this fits into the overall workflow, but it is largely complete.

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

Parameters5/5

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

The input schema has no parameter descriptions (0% coverage), so the description fully compensates by explaining each parameter's meaning and providing an example glob pattern. This adds significant value beyond the schema's type/default information.

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 data files in a local directory or S3 prefix, using the specific verb 'list' and resource 'data files', which immediately distinguishes it from siblings like query, describe_file, preview_file, and profile_columns.

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 purpose is evident, but there is no explicit guidance on when to use this tool versus alternatives like describe_file or preview_file. Usage is implied from the description ('list data files'), but no exclusions or alternative scenarios are mentioned.

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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