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ecommerce_price_tracker

Multi-Retailer E-Commerce Price Tracker: Trigger: Call this tool when an agent needs to monitor real-time stock and product pricing on any e-commerce URL. Input: 'url' (required product URL). Output: parsed price, currency, availability, and discount percentage. (x402 M2M Cost: 0.01 USDC on Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoInput parameter for url (e.g. "https://amazon.com/dp/example")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the output shape and a real operational constraint (x402 M2M cost of 0.01 USDC on Base), which is meaningful beyond structured fields. However, it says nothing about failure behavior on unsupported or bot-blocked URLs, rate limits, or that the call is a non-mutating read.

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 Trigger/Input/Output labeling front-loads the essential information and the whole thing is three compact clauses. The 'Multi-Retailer E-Commerce Price Tracker:' prefix and the parenthetical cost are slightly redundant framing but each clause still carries content.

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?

No output schema exists, so enumerating the return fields is genuinely necessary and it's done. For a single-parameter, no-annotation tool the description covers purpose, input, and output adequately; only edge-case behavior for unsupported sites is unaddressed.

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 100% for the single 'url' parameter, so the baseline is 3. The description restates it as '(required product URL)', adding essentially no format or syntax detail beyond what the schema already supplies — and it asserts 'required' where the schema declares no required fields.

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 names a specific verb and resource ('monitor real-time stock and product pricing') and scopes it to 'any e-commerce URL', which distinguishes it from the single-retailer siblings like amazon_bestsellers, shopee_scraper, and the generic scrapers. An agent can tell what this tool returns (price, currency, availability, discount %) without opening the schema.

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 'Trigger' clause gives explicit when-to-use guidance: when an agent needs real-time stock/pricing on an arbitrary e-commerce URL. It stops short of naming alternatives or exclusions (e.g. when to prefer amazon_bestsellers or a site-specific scraper), so it is clear context without routing.

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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