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csv_parse

Parse CSV text into fields + preview rows with delimiter detection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
delimiterNoauto
previewRowsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
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 behavioral burden. It implies a read-only parse and mentions delimiter detection, but says nothing about size limits, how malformed rows are handled, or whether output is truncated to previewRows only.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler, stating resource, transformation, and output up front. It is efficient, though arguably terse for a tool with three (0% documented) parameters.

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?

With no output schema and no annotations, the description should explain the return structure more fully than 'fields + preview rows'. It orients the agent adequately but leaves output format, limits, and error behavior unspecified.

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?

Schema description coverage is 0% for 3 parameters, so the description must compensate. It touches two of them (delimiter detection, preview rows) but never explains the required input string, the enum values, or the 1-500 previewRows bound.

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?

States a specific verb (parse), resource (CSV text), and output shape (fields + preview rows), plus the delimiter-detection feature. This clearly separates it from siblings like csv_to_json, csv_filter, and csv_sort, though it never names an alternative.

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?

There is no statement of when to use this tool versus the many csv_* and json_to_csv siblings, nor any precondition such as malformed-input handling. The purpose is implied by the name alone, leaving the agent to infer routing.

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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