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Crawlora MCP

by net.crawlora
OverviewDiscussionsAdmin

wish_suggest

Read-only

Wish's own search-suggestion (typeahead) result for a partial search term: a flat list of suggested search terms, no product data. A partial term with no matches returns a normal, empty result rather than an error.

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": "wish_suggest"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYesPartial search term

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 term"
  2. First observed

TDQS

A3.9/5.0
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 useful behavioral detail beyond annotations: it clarifies the output is a flat list with no product data and that a partial term with no matches returns an empty result rather than an error.

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, both front-loaded and free of filler. The first defines the tool and output scope; the second covers the empty-result edge case. Every sentence earns its place.

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

Completeness5/5

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

For a simple one-parameter, read-only suggestion tool with an output schema available, the description covers what it returns, that it contains no product data, and how no-match cases behave. Nothing needed for correct invocation is missing.

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%, and the single query parameter is already documented in the schema as a partial search term. The description repeats that meaning without adding format, length, or normalization details, so the schema does the substantive work.

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?

The description identifies the resource precisely as Wish's search-suggestion/typeahead output and specifies that it returns a flat list of suggested terms with no product data. This distinguishes it from broader product-search siblings like wish_search, though no sibling is named explicitly.

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 'partial search term' and the typeahead framing imply that this tool is for autocomplete-style lookups rather than full product search. However, it does not explicitly state when to use this instead of wish_search or any other sibling, leaving routing partly to inference.

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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