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fashionphile_search_suggest

Read-only

Fetch Fashionphile predictive-search suggestions for required q, including products, collections, and queries selected by types; limit caps results. Use fashionphile_search for full-text/faceted results.

Input Schema

NameRequiredDescriptionDefault
qYesRequired. Search query text.
limitNoMaximum suggestions to return. Default 10, maximum 20.
typesNoComma-separated suggestion types. Allowed values: product, collection, query. Defaults to product,collection,query.

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. First observed

TDQS

A4.1/5.0
Behavior3/5

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 the shape of the response (suggestion categories) and the limit cap, but does not describe pagination, ranking, or any behavioral traits beyond what annotations and schema convey. With annotations carrying the burden, a 3 is appropriate.

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?

Compact two-clause sentence with the primary purpose front-loaded and the alternative tool routing at the end. The parameter restatement is slightly redundant given full schema coverage, keeping it just short of a 5.

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-value documentation is not required, and the description covers purpose, parameters, and the sibling routing decision. Nothing critical for correct invocation is missing, though it could note the default limit or ranking behavior for extra completeness.

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%, so all three parameters are already documented in the schema with defaults and allowed values. The description restates that q is required, types selects suggestion categories, and limit caps results without adding syntax or edge-case detail. Baseline 3 is correct when the schema does the heavy lifting.

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 ('Fetch') and resource ('Fashionphile predictive-search suggestions') and enumerates the returned suggestion kinds (products, collections, queries). It is clearly distinguishable from the sibling fashionphile_search, which serves full-text/faceted results.

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

Usage Guidelines5/5

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

Explicitly names the alternative tool and the condition that selects it: 'Use fashionphile_search for full-text/faceted results.' This tells the agent exactly when this autocomplete-style tool is the right choice versus the full search tool.

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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