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csv_parse

csv -> rows (rfc4180-lite)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNo
headerNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
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 burden. 'rfc4180-lite' hints at parsing rules but does not disclose header handling, error behavior, or output format. The behavioral picture remains largely opaque.

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

Conciseness2/5

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

The fragment is extremely short, but that brevity reflects under-specification rather than efficient communication. It is front-loaded but lacks the structure and substance needed for an agent to act confidently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

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 return values, header handling, and error cases. It only implies rows are returned and leaves key behaviors unspecified.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not explain either parameter. The 'input' parameter is implied but 'header' is entirely undocumented, leaving an agent with no semantic guidance beyond the raw schema.

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 states the transformation clearly: CSV input becomes rows, with a reference to the rfc4180-lite parsing convention. It distinguishes the tool from all siblings (no other CSV tool exists), though it is terse and does not use a full verb phrase.

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?

No guidance is given on when to use this tool versus alternatives. There is no mention of context, preconditions, or exclusions relevant to an agent's decision.

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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