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sfsupplies

product-search-mcp-server

by sfsupplies

suggest_products

Generates product name suggestions as you type, helping resolve partial or vague queries into specific product names for further search.

Instructions

Fast typeahead/autocomplete lookup (the search-bar suggester). Given a partial query it returns matching product NAMES (and page URLs) — lightweight, no attributes or filters. Use it to resolve a vague or partial term to concrete product names, then call search_products with the chosen term for full details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax suggestions to return (1-25, default 10).
queryYesPartial or full search text, e.g. 'hp750'.
Behavior4/5

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

No annotations provided, but description discloses lightweight behavior, no attributes/filters, and the nature of returned data. Could mention read-only behavior more explicitly, but sufficient.

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 with no waste; front-loaded with purpose and key constraints.

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?

No output schema, but description mentions returns names and URLs; missing details on error cases or empty results, but adequate for a simple tool.

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

Parameters4/5

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

Schema covers 100% with descriptions; description adds context that it works with partial queries and returns names/URLs, enhancing understanding.

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?

Description clearly states it's a typeahead/autocomplete lookup returning product names and page URLs, distinguishing it from sibling tool search_products.

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 says use it to resolve vague terms to concrete names, then call search_products for full details, providing clear when-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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