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Crawlora MCP

oldnavy_product_availability

Read-only

Old Navy, Gap, Banana Republic, or Athleta in-store pickup stock for one color (pid) at one or more physical stores: every offered size's stock status (in_stock, out_of_stock, low_stock) per store. Give store location either directly with store_id (one or more comma-separated store ids) or with zip or both lat and lng, which resolves the nearest stores automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNo
lngNo
pidYes
zipNo
brandNo
store_idNo

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. The description adds real behavioral value by naming the returned stock states (in_stock, out_of_stock, low_stock) and clarifying that lat/lng resolves nearest stores automatically, which the annotations do not convey.

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 dense sentences with no filler; the resource and scope are front-loaded and the location-input rules follow. Slightly packed but 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 explained, and the description covers the otherwise undocumented input parameters. The only gap is the unexplained 'brand' parameter for a 6-param tool.

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?

Schema description coverage is 0%, so the description carries the burden and mostly does: it explains pid (one color), store_id (comma-separated ids), zip, and that lat and lng must be given together to resolve nearest stores. It is silent on the 'brand' parameter, leaving that one ambiguous.

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 (retrieve in-store pickup stock) and resource (one color/pid at physical stores) with the exact output shape (stock status per size per store). It clearly differentiates from siblings like oldnavy_product (catalog) and oldnavy_stores (store directory).

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?

Gives explicit guidance on how to supply store location: either store_id (comma-separated) or zip, or both lat and lng. It does not explicitly name alternative sibling tools or state when-not-to-use, so it falls short of a 5 but provides strong context.

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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