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Crawlora MCP

zara_suggest

Read-only

Zara's own search-box suggestions (typeahead) for a partial keyword, the same suggestions shown while typing into Zara's search box. A nonsense query returns a genuinely empty suggestions list rather than a fallback/recommended set.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "zara_suggest"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYesPartial search keyword

Output 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. Changed1 schema field changed
    • addedInput schema / properties / query / description
      Added value: +"Partial search keyword"
  2. First observed

TDQS

A4/5.0
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 genuinely useful behavioral context beyond that: a nonsense query yields a truly empty list rather than a fallback/recommended set, which tells the agent how to interpret empty results.

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 tight sentences, front-loaded with the core purpose, and the second sentence earns its place by documenting the empty-result behavior. No filler.

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 read-only/open-world annotations cover safety. The description covers purpose and a key edge case (empty results), leaving only the explicit routing to zara_search as a minor gap.

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

Parameters3/5

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

Schema description coverage is 100%, with the single param documented as 'Partial search keyword'. Baseline 3 applies; the description reinforces 'partial keyword' but adds no format or syntax detail 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?

States a specific verb+resource: Zara's search-box typeahead suggestions for a partial keyword. It clearly distinguishes itself from the sibling zara_search by tying the output to what appears 'while typing into Zara's search box,' so an agent can tell it apart without opening either schema.

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 phrase 'for a partial keyword' implies the input is a partial/prefix string, which suggests usage context (autocomplete vs. full search). However, it never explicitly states when to choose this tool over zara_search, nor any when-not conditions, so guidance is only implied.

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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