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Start an Amazon.sg product batch

batch_products

Queue 1-1000 distinct Amazon.sg product URLs for structured JSON extraction and retrieve paged results via a task ID.

Instructions

Queue 1-1000 distinct Amazon.sg product URLs with the reviewed JSON schema. Returns taskId; wait_batch waits for it and get_batch_items pages the results.

Input Schema

NameRequiredDescriptionDefault
urlsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.0

TDQS

A4/5.0
Behavior4/5

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

Annotations cover the safety profile (non-read-only, non-idempotent, open-world, non-destructive), and the description adds genuinely useful behavior: asynchronous taskId return, the 1-1000 bound, and that URLs must be distinct. It does not mention validation failures, rate limits, or duplicate-URL handling, which for a non-idempotent batch submit would be nice to have.

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?

Two tight sentences with the verb and scope front-loaded and the follow-up tools in the second sentence. The phrase 'with the reviewed JSON schema' is vague jargon that slightly muddies rather than clarifies.

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

Completeness4/5

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

With no output schema, the description correctly discloses the return (taskId) and the two companion tools needed to consume the result, which is what an agent needs for an async batch tool. Missing only edge behavior such as failure modes or partial-batch handling.

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 single parameter has no schema description (0% coverage), so the description must carry the semantic load, and it does add real constraints: count range and 'distinct', plus the Amazon.sg product URL restriction. That is meaningful beyond the bare array-of-strings schema, though it omits URL format requirements.

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 (queue) and resource (Amazon.sg product URLs) with a bounded count of 1-1000. It is clearly the product-specialized batch entry point versus generic batch_scrape, though it never explicitly contrasts itself with that sibling.

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

Usage Guidelines4/5

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

The description gives the operational workflow by naming wait_batch as the wait step and get_batch_items as the paging step, so an agent knows what to call next. It does not state when to prefer this over batch_scrape or scrape_product, so it falls short of explicit alternatives.

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