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csv-mcp-server

csv-mcp-server

by Navneet1710
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_csv_info

Retrieve detailed information about a CSV file, including its structure and metadata, to quickly understand the data without opening it.

Instructions

Get detailed information about a CSV file

Args: filename: Name of the CSV file

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "filename": "<filename>"
    },
    "name": "get_csv_info"
  }
}

Input Schema

NameRequiredDescriptionDefault
filenameYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior1/5

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

With no annotations and no description of behavioral traits (e.g., read safety, error behavior, side effects), the agent has no insight into tool behavior. The description is purely functional with no disclosure.

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?

The description is extremely concise, consisting of a single sentence and a parameter list. While not verbose, it sacrifices informative content for brevity, providing only the bare minimum.

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?

Given an output schema exists, the description does not explain what information is returned (e.g., encoding, column count, row count). The sibling tools suggest different data focuses, but the description does not align with the available context.

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?

The only parameter 'filename' has 0% schema description coverage. The description repeats the parameter name as 'Name of the CSV file,' adding negligible meaning beyond the parameter name itself. It does not specify format, constraints, or examples.

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 clearly states the tool retrieves detailed information about a CSV file, distinguishing it from siblings like get_csv_statistics (statistical data) and read_csv (raw content). However, it lacks specifics on what constitutes 'detailed information.'

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 provided on when to use this tool versus alternatives (e.g., get_csv_statistics, query_csv). The description does not mention prerequisites, limitations, or context of use.

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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