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shein_search_autocomplete

Retrieve SHEIN search typeahead suggestions from a partial query to complete search terms and reveal popular matches.

Instructions

SHEIN search autocomplete. Returns SHEIN's search typeahead suggestions for a partial search query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wordYesPartial search query
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only restates that the tool returns typeahead suggestions, which is nearly identical to the tool's name, and adds no context about response format, limits, network behavior, or read-only nature. For a tool with no annotations, this is a gap.

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?

The description is only two sentences and has no filler. The first sentence slightly duplicates the tool name, but the second sentence adds the typeahead/partial-query specificity. Overall it is appropriately sized and front-loaded.

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?

This is a one-parameter read-style tool with no output schema and no annotations, so the description needs to provide enough context to make the tool safely invocable. It explains the input and general output, but it leaves the return shape, potential error cases, and differentiation from shein_search_keywords unexplained. The agent can pass 'word' but will not know what the response structure looks like.

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 'word' parameter is already described as 'Partial search query' in the schema. The description repeats that same concept without adding syntax, format, or example details, so it adds no meaning beyond the schema. Baseline 3 applies.

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 names a specific resource (SHEIN's search typeahead suggestions) and a clear action (returns), with the input context of a partial search query. It does not explicitly distinguish itself from similar siblings like shein_search_keywords, but the typeahead framing makes the core purpose clear.

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 search query' implies when to use it, and the schema's required 'word' parameter reinforces this. However, it provides no comparison to sibling tools such as shein_search_keywords or shein_products_search, and no explicit exclusions or when-not-to-use guidance.

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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