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Amazon.sg product JSON

scrape_product
Read-onlyIdempotent

Extract evidence-backed JSON for one anonymous Amazon.sg /dp/{ASIN} product. Get structured product data with proof and clear reasons for blocked, empty, or wrong pages.

Instructions

Get evidence-backed JSON for one anonymous Amazon.sg /dp/{ASIN} product. No schema or model setup needed.

Input Schema

NameRequiredDescriptionDefault
urlYes
debugNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive. The description adds useful extra context by noting access is anonymous (no login needed) and that no schema/model setup is required, but it says nothing about rate limits, throttling, or failure behavior for invalid URLs.

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 short sentences, front-loaded with the core action and scope. The trailing 'No schema or model setup needed' is mildly promotional but still informative about setup cost.

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?

For a simple single-URL scrape tool this covers the essentials, but with no output schema the description gives only 'JSON' with no hint of the returned fields, and the undocumented debug parameter leaves a gap an agent cannot resolve.

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 description coverage is 0%, so the description must carry the parameter burden. It partially does by revealing the URL shape (/dp/{ASIN} on amazon.sg), but the optional 'debug' parameter is never explained in either schema or description.

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 and resource: fetch JSON for one anonymous Amazon.sg /dp/{ASIN} product. The 'one product' scope implicitly separates it from batch_products and the generic scrape sibling, though it does not name them.

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?

There is no explicit when-to-use / when-not-to-use guidance and no named alternative. A reader must infer that this is the single-product path versus batch_products or the generic scrape tool based on the word 'one'.

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