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read_csv

Read a CSV file and return its contents as formatted text. Specify delimiter (default comma) and whether the first row is a header.

Instructions

Read a CSV file and return its contents.

Args: file_path: Path to the CSV file delimiter: Column delimiter (default comma) has_header: Whether the first row is a header

Returns: CSV contents as formatted text or error message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
delimiterNo,
file_pathYes
has_headerNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must convey behavior. It states the return type (formatted text or error) but omits details like file access requirements, encoding, or lack of side effects. Minimal but acceptable for a simple read tool.

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 concise and front-loaded, with no redundant sentences. It efficiently communicates purpose, args, and return in five lines.

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 the tool's simplicity and the presence of an output schema, the description is nearly complete. It could add notes on file existence or error handling, but it covers essential expectations.

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 description coverage is 0%, so the description is the sole source of parameter meaning. It provides brief but clear explanations for all three parameters (file_path, delimiter, has_header), covering their roles and defaults.

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 reads a CSV file and returns its contents, with a specific verb and resource. It naturally distinguishes from sibling tools that handle docx, excel, or table operations.

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 explicit guidance on when to use this tool vs alternatives like csv_to_table or write_csv. Usage context is implied but not stated, and no exclusions 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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