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suggest

Fetches Vinted search-box autocomplete options for partial text, enabling AI agents to complete or refine queries before searching listings.

Instructions

Search-box autocomplete suggestions.

Input Schema

NameRequiredDescriptionDefault
textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, but it only states the autocomplete scenario. It does not disclose return format, read-only behavior, rate limits, or authentication expectations.

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?

The description is a single short sentence that is front-loaded and contains no filler. Every word contributes to the stated purpose.

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?

For a simple one-parameter tool the description is still incomplete because it leaves the parameter meaning and sibling routing ambiguous. Without annotations or an output schema, more detail was needed to call it correctly.

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

Parameters2/5

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

There is one required parameter, text, with 0% schema description coverage, and the description does not explain that text is the search-box prefix. It does not mention format, minimum length, or how the value is used.

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 phrase 'Search-box autocomplete suggestions' identifies the resource and scenario clearly enough for an agent to understand it returns autocomplete suggestions. It lacks an explicit verb and does not differentiate from sibling tools such as suggest_category or search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance, no exclusion rules, and no alternatives. It does not say how this differs from suggest_category or when to use search instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.