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Search product reviews

search_products
Read-onlyIdempotent

Find reviewed products by buying guide, type, price, installation, width or room size. Each result has its dated US price, main trade-off, who it isn’t for, and a store link with its disclosure.

Input Schema

NameRequiredDescriptionDefault
qNoProduct words: a brand, a model or a kind of product, such as "infrared sauna blanket". Health conditions aren’t matched.
typeNoA product type as results give it, such as "smart-ring".
limitNoHow many results to return; 10 if not given.
minRoomNoSmallest room the product must cover, in square feet. Unknown coverage never passes.
categoryNoOne buying guide.
maxPriceNoHighest US price in dollars. Unknown, withheld and replacement-model prices never pass.
maxWidthNoWidest the product may be, in inches. Unknown widths never pass.
installationNoWhat fitting the product needs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new context by describing the payload per result (dated US price, main trade-off, who it isn't for, store link with disclosure). It does not mention result limits, pagination or how empty matches behave, so a 3 is fair.

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 tight sentences: the first front-loads the searchable facets, the second summarizes the result shape. No filler, no repetition of the title.

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?

With eight optional parameters and no output schema, the description usefully compensates by sketching the returned record (price, trade-off, caveat, store link). It is nearly complete; only edge-case behavior for zero results or the default result-set size (left to the schema's limit param) is unaddressed.

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 coverage is 100% and the enum constraints (category, installation) plus boundary rules ('unknown coverage never passes') are fully documented in the schema. The description only re-maps those same facets in prose, adding no syntax or format detail beyond what the schema provides, so the 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?

States a specific verb and resource ('Find reviewed products') and enumerates the filterable facets (buying guide, type, price, installation, width, room size), which clearly separates it from get_product or compare_products. The only weakness is that it never names a sibling or explicitly contrasts its role as the discovery/listing tool.

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?

Usage is implied by the list of narrowing dimensions, so an agent can infer this is the entry-point search tool. However, there is no explicit when-to-use/when-not guidance and no pointer to alternatives such as recommend_products or compare_products for different intents.

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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