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Crawlora MCP

macys_product

Read-only

One Macy's product's full detail: name, brand, description, department/division, category breadcrumb, pricing with sale detection, availability, images, aggregate rating, and every purchasable color variant with its own price. product_id is a numeric id, taken from a Macy's product page's ?ID= query parameter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds real behavioral context beyond that: it discloses that pricing includes sale detection and that every color variant carries its own price, which helps an agent trust the completeness of a single call. No auth/rate-limit caveats, keeping it from a 5.

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 sentences, zero waste. The payload enumeration is front-loaded and the parameter-provenance detail follows. Every clause earns its place.

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?

An output schema exists, so return values need not be re-explained, yet the description still previews the shape helpfully. For a single-required-param detail tool the definition is essentially complete; only the absence of any usage-vs-sibling steering keeps it short of a 5.

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

Parameters5/5

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, and it does: it tells the agent product_id is numeric and is sourced from the ?ID= query parameter on a Macy's product page. This is exactly the format/origin guidance the bare schema lacks.

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?

States a specific verb/resource ('One Macy's product's full detail') and then enumerates the exact payload (name, brand, pricing with sale detection, variants). This clearly distinguishes it from siblings macys_product_reviews and macys_suggest, so an agent can pick it without opening schemas.

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?

Usage is implied: fetch full detail for a known product_id. The description explains where the id comes from (the ?ID= query parameter), which is useful routing context, but it never names when to prefer this over macys_product_reviews or when it should not be used.

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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