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x402-csv-filter

CSV Filter: CSV Filter

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
colNoCol to process
csvNoCsv to process
dataNoData to process
textNoText to process
valueNoValue to process
columnNoColumn to process
equalsNoEquals to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.3/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden and delivers nothing: no statement of whether filtering is row-wise or column-wise, what happens on no match, whether input is mutated, or what is returned.

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?

Extremely short but not concise in a useful sense — it is under-specified rather than front-loaded. The single repeated phrase wastes the only sentence available.

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?

For a 7-parameter tool with no annotations and no output schema, the description is entirely inadequate. An agent cannot determine input format, filter semantics, or return shape from anything provided.

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

Parameters2/5

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

Schema coverage is nominally 100%, but every parameter description is boilerplate ("Col to process", "Csv to process", "Equals to process") that adds no meaning. Worse, the seven overlapping names (col, column, csv, data, text, value, equals) leave unclear which to use, and the description does nothing to resolve that ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

"CSV Filter: CSV Filter" merely restates the tool name and adds no verb/resource specificity. It does not say whether it filters rows by predicate, filters columns, or removes blanks, and it does not distinguish itself from the many x402-csv-* siblings (csv-parse, csv-sort, csv-stats).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative guidance is given. With siblings like x402-csv-headers, x402-csv-json, and x402-csv-sort present, an agent has no basis for choosing this tool over them.

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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