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Crawlora MCP

gucci_stores

Read-only

Gucci's full US store-locator listing: name, address, phone, coordinates, product departments carried, and a link to book an in-store appointment for each location. Filter to one department with department (e.g. jewelry, mens_shoes); omit for every store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
departmentNo

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

A3.6/5.0
Behavior3/5

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 field-level detail about what each record contains, but with an output schema present that content is largely redundant, and it says nothing about pagination, coverage limits, or rate behavior.

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 sentences, no filler, front-loaded with what the tool returns before the filtering note. The structure lets an agent grasp scope and the one parameter quickly.

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?

For a single-optional-parameter read tool with an output schema and safety annotations, the description is nearly sufficient: it defines scope, the parameter, and its default behavior. Minor gap is the lack of guidance versus the gucci_store/gucci_store_search siblings.

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 must carry the load, and it does: it names the parameter, gives example values (jewelry, mens_shoes), and specifies the omit-for-all behavior. It falls short of documenting valid value format/case or a value list.

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+resource: it enumerates exactly what the Gucci US store-locator listing returns (name, address, phone, coordinates, departments, booking link) and scopes it as the 'full US' set. It does not name the sibling gucci_store or gucci_store_search, so an agent must infer which one to pick, which keeps it short of a 5.

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?

Gives clear guidance for the parameter ('filter to one department...; omit for every store') but offers no when-to-use guidance against alternatives like gucci_store or gucci_store_search. Usage is implied by the 'full listing' framing rather than explicitly contrasted.

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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