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Presend MCP Server

csv_json

Convert between JSON and CSV (GET)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
directionYes

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 disclosure burden, and it discloses almost nothing. It does not say whether the conversion happens via the required 'direction' parameter, what the output encoding/return shape is, or any limits on payload size. '(GET)' is the only behavioral hint and it is ambiguous.

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

Conciseness3/5

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

A single front-loaded phrase with no filler, which is structurally clean, but it is under-specified rather than genuinely concise for a two-required-parameter tool. The parenthetical '(GET)' adds noise rather than value.

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

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and 0% schema coverage, the description is the only source of guidance and it explains none of the contract. An agent cannot determine valid 'direction' values or 'data' format from any available field, leaving the tool effectively uncallable with confidence.

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 mentions neither 'direction' nor 'data'. It never states the accepted values for 'direction' (e.g. json2csv vs csv2json) or what format 'data' must be — raw string, JSON literal, CSV text. Both required parameters are effectively undocumented.

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 (Convert) and the two resources involved (JSON and CSV), so an agent can tell this is a format-transcoding utility. The trailing '(GET)' hints at the transport but is unexplained. No sibling tool overlaps, so no differentiation is needed, but the description is bare of scope detail.

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, what prerequisites exist, or how it relates to any alternative. The 'between' phrasing implies bidirectional use, but which direction is selected and how remains unstated.

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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