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export_dataset

Write per-page source/page/text data to a Parquet or JSONL file; optionally filter by source and infer format from file extension.

Instructions

Write the per-page {source, page, text} dataset to a file (no vectors).

fmt is parquet/jsonl (empty infers from the suffix); source limits to one 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": {
      "output": "<output>"
    },
    "name": "export_dataset"
  }
}

Input Schema

Name	Required	Description	Default
`fmt`	No
`output`	Yes
`source`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

Changed6 schema fields changedv1.0.2Jul 22, 2026
- removedInput schema / properties / fmt / default
```
Removed value: -""
```
- removedInput schema / properties / fmt / title
```
Removed value: -"Fmt"
```
- removedInput schema / properties / output / title
```
Removed value: -"Output"
```
- removedInput schema / properties / source / default
```
Removed value: -""
```
- removedInput schema / properties / source / title
```
Removed value: -"Source"
```
- removedInput schema / title
```
Removed value: -"export_datasetArguments"
```
First observedv1.0.0Jun 15, 2026

TDQS

A3.7/5.0

Behavior3/5

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

Describes core behavior (write to file, no vectors) but does not disclose side effects (e.g., read-only, no modification of original data). No annotations provided, so description carries burden but only partially addresses it.

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?

Two concise sentences front-loaded with main purpose and parameters. No wasted words.

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?

Covers main purpose and two parameter details, but lacks usage context and behavioral safety. Output schema exists (not shown) so return values not needed. With no annotations, description is adequate but not thorough.

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?

Explains fmt (parquet/jsonl, infers from suffix) and source (limits to one file) but does not describe output parameter beyond being the file path. Schema coverage is 0%, so description adds some value but leaves gaps.

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

Purpose5/5

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

Clearly states the tool writes a per-page dataset to a file, specifies no vectors, and implies export action. Distinguishes from import_dataset (sibling) by nature of operation.

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?

Implies use for exporting dataset to file in parquet/jsonl optionally limited to one source. No explicit when-to-use or alternative guidance, but context suggests it's for file output.

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