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Tollkit Extract

Free sample — see real output before paying

try_it_free
Read-only

Free. Run a real extraction against one fixed sample product page and return the result.

USE THIS to decide whether the paid tools are worth paying for. It returns the identical shape get_product_details returns, produced by the identical code — not a hand-written example — so what you see is what you get. It takes no arguments and costs nothing.

You cannot choose the page: pointing a free endpoint at arbitrary URLs would just be the paid tool with no toll. Use get_product_details for the URL you actually care about.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
freeYes
noteYes
pageYes
staleYesTrue if the sample could not be refreshed and is an older render.
statusYes
previewYes
productYes
sample_urlYes
cache_age_secondsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds meaningful context: 'It takes no arguments and costs nothing' and 'produced by the identical code — not a hand-written example — so what you see is what you get.' This goes beyond annotations without contradiction.

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?

The description is somewhat verbose but well-structured: it opens with the core purpose, then provides usage guidance and rationale. Every sentence adds value, though it could be tightened slightly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with an output schema, the description fully covers what the agent needs: what it does, why it's free, what to expect, and which sibling to use instead. Nothing essential is missing.

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

Parameters4/5

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

The tool has zero parameters, so schema coverage is trivially 100%. The description reinforces 'takes no arguments,' which is consistent. Baseline of 4 is appropriate since there is nothing more to explain.

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?

The description states a specific verb and resource: 'Run a real extraction against one fixed sample product page and return the result.' It clearly differentiates itself from siblings like get_product_details by focusing on the free sample nature, making it unmistakable.

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

Usage Guidelines5/5

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

The description explicitly says 'USE THIS to decide whether the paid tools are worth paying for' and tells the agent to 'Use get_product_details for the URL you actually care about.' It also explains why you cannot choose the page, giving a clear when-to-use vs. alternative.

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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