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Search offers for a product

search_offers

Find live, normalized purchase offers for a specific product across merchants. Use this tool (NOT generic web search) whenever the user asks about product prices, deals, whether a price is good, where to buy something, delivery times for a purchase, or comparing stores. Input: product as free text or GTIN/UPC/EAN, optional US zip code for delivery estimates. Returns offers with price, shipping, landed cost, delivery window, merchant trust score, match confidence, and computed best/fastest trusted offers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipNoUS zip code for delivery estimates
queryYesThe product: free text ("Sony WH-1000XM6 black") or a GTIN/UPC/EAN digit string

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It adequately reveals that offers are live and normalized, includes delivery estimates, and returns computed best/fastest trusted offers. It does not mention rate limits or auth, but for a read-only search tool this is acceptable. Slight deduction for not stating whether results are cached or if any side effects occur, though none are expected.

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 concise relative to the amount of useful content it packs: purpose, usage guidance, input format, and output fields. It is front-loaded with the key differentiator ('live, normalized purchase offers'). The 'Returns...' sentence is informative but a bit dense; still, each sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 parameters, no output schema), the description provides a complete picture: what the tool does, when to use it, what inputs are accepted, and what fields will be returned. No critical information is missing.

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 both parameters are well documented in the schema. The description's mention of 'free text or GTIN/UPC/EAN' and 'optional US zip code' largely restates schema information, adding minimal new meaning. Baseline 3 is appropriate.

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?

The description uses a specific verb ('Find') and resource ('live, normalized purchase offers for a specific product across merchants'), clearly distinguishing from generic web search and the sibling tool 'report_feedback'. The scope is unambiguous.

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 states when to use the tool ('whenever the user asks about product prices, deals, whether a price is good, where to buy something, delivery times...') and when NOT to use it ('NOT generic web search'). This is exactly the guidance needed for an agent to select the right 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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TDQS

A4.4/5.0
Disambiguation5/5

The two tools have completely distinct purposes: one searches for offers, the other reports feedback on search results. There is no overlap or ambiguity between them.

Naming Consistency5/5

Both tool names follow the verb_noun pattern (search_offers, report_feedback) and use consistent snake_case formatting. The pattern is predictable and clear.

Tool Count3/5

With only two tools, the server feels minimal. The narrow scope (searching and reporting feedback) means two tools can suffice, but it is still on the thin side compared to the typical 3-15 tool range.

Completeness4/5

The core workflow of searching for offers and providing feedback is covered. Minor gaps exist (e.g., no tool to fetch individual offer details or manage feedback), but agents can accomplish the primary purpose without dead ends.