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CSV column profile

privi_csv_profile
Read-only

Profile column names, row count and widths for a small CSV input.

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": {
      "csv": "<csv>"
    },
    "name": "privi_csv_profile"
  }
}

Input Schema

NameRequiredDescriptionDefault
csvYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the useful operational constraint that the input must be small, but says nothing about parse failure behavior, encoding assumptions, or how the profile 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.

Conciseness4/5

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

One short sentence, front-loaded with the action and the outputs; nothing is wasted. It is arguably slightly too terse given that "widths" is left unqualified, but the structure is clean.

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?

There is no output schema, so the description should explain the return shape; it names the three profiled quantities but not their structure or units. For a read-only single-parameter tool that is minimally adequate, but the absence of any error or size-limit detail leaves gaps.

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 coverage is 0% and the single parameter "csv" is undocumented, so the description carries the burden. Saying "small CSV input" hints that the argument is CSV content rather than a file path, which is genuinely helpful, but it does not clarify format expectations (header row present, delimiter, quoting).

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 (profile) and enumerates the results it produces: column names, row count, and widths, scoped to a small CSV input. That is enough to distinguish it from the narrower sibling privi_pro_csv_column_consistency, though the description never names the sibling explicitly.

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

Usage Guidelines3/5

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

The phrase "small CSV input" implies a size boundary and therefore when this tool is appropriate versus heavier processing, but there is no explicit when-to-use/when-not guidance and no pointer to an alternative for larger inputs. Usage is inferred rather than stated.

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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