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save_data

Export numeric data to CSV, JSON, or NPY in the configured output directory by specifying a filename and optional column names.

Instructions

Save numeric data as CSV, JSON or NPY under the configured output directory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
formatNocsv
filenameYes
column_namesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It discloses the destination ('configured output directory') and formats, but says nothing about overwrite behavior, permissions, return value, or whether the directory must exist.

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

Conciseness5/5

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

A single front-loaded sentence with no filler; the verb, resource, formats, and destination are all packed efficiently.

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?

For a 4-parameter write tool with no annotations, no output schema, and 0% schema description coverage, the one-line description is insufficient. Key operational details about file writing and parameter meaning are absent.

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 description coverage is 0%, so the description must compensate. It only loosely maps to the 'format' parameter via the format list and implies numeric data, leaving 'filename' and 'column_names' (and the accepted array/dict data shapes) entirely 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 (save) and resource (numeric data) plus the supported output formats and destination directory. It is clearly distinguishable from the inverse sibling load_data, though it never names it explicitly.

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 on when to use this versus alternatives, no prerequisites, no note about the required output directory being pre-configured. The agent must infer everything from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.