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Glama

search_apparel_by_text

Free-text/semantic search over Indian apparel & jewelry stores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNo
limitNo
queryYes
stateNo
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedInput schema / properties / offset
      Added value: +{
      +  "default": 0,
      +  "title": "Offset",
      +  "type": "integer"
      +}
  2. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, and the description only mentions 'Free-text/semantic search' without disclosing behavioral traits such as read-only nature, authentication needs, rate limits, or response format. The description carries the full burden and provides minimal behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no wasted words. However, it is too brief and could benefit from structuring to include key details like parameter usage or output expectations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 parameters and an output schema, the description is incomplete. It lacks details on filtering (city/state), pagination (limit/offset), and return format. The context from siblings increases the need for completeness.

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

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. However, it does not mention any parameters or their meanings. Parameter names (query, city, state, limit, offset) are self-explanatory to some extent, but the description adds no value beyond the schema.

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 clearly states the tool performs 'Free-text/semantic search over Indian apparel & jewelry stores', specifying the verb (search), resource (apparel & jewelry stores), and scope (Indian). This distinguishes it from sibling search tools targeting different categories.

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?

The description implies usage for apparel/jewelry search but provides no explicit guidance on when to use this tool versus alternatives. With many similar sibling search tools, clearer differentiation would improve score.

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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