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Crawlora MCP

samsclub_departments

Read-only

Sam's Club's full department/category taxonomy, as shown on its own "All Departments" page: every top-level department with its own subcategory list. Each link's type is "browse" (pairs directly with samsclub_category), "cp" (pairs with samsclub_content), or empty (an unrecognized link shape).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real behavioral value by defining the link-type semantics (browse/cp/empty) and what an unrecognized shape means, which is not derivable from the annotations.

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, front-loaded with the purpose before the link-type taxonomy. Every clause carries information; no filler or restated title.

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 an output schema present, return values need no explanation, and annotations cover safety. The description supplies the structural and link-type context needed to interpret and chain the result, leaving little gap beyond pagination/ordering behavior.

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 tool takes zero parameters, so there is no per-parameter semantics to convey and the baseline is 4. Nothing in the description is needed or expected here.

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 resource (Sam's Club's full department/category taxonomy) with concrete scope: every top-level department plus its subcategory list. It distinguishes itself from siblings by naming samsclub_category and samsclub_content as the pairing targets, so an agent can tell what this tool is versus the others.

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?

It gives clear routing context by mapping link types to the next tool ("browse" pairs with samsclub_category, "cp" pairs with samsclub_content), which tells an agent how to chain calls. It stops short of an explicit when-to-use statement or exclusions, so it is strong but not fully prescriptive.

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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