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get_offer

Read-only

Details of up to 8 listings in one call (offer ids from search_products or get_product): buy link, price, seller, and what its page states (bullets, specs, size, description, reviews). Use it for questions about a listing: warranty, dimensions, what's in the box, ingredients, compatibility, shipping or returns.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "offer_ids": "<offer_ids>"
    },
    "name": "get_offer"
  }
}

Input Schema

NameRequiredDescriptionDefault
offer_idsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered; the description adds the batch cap ('up to 8 listings in one call') and spells out the returned payload fields, which is real context beyond structured data. It does not say what happens for invalid or unknown offer ids, nor anything about partial results.

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?

Two sentences, front-loaded with the resource and batch limit, then the use case. Dense but every clause carries information; the parenthetical about id origins is slightly awkwardly placed inside the opening sentence.

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 one required parameter, annotations covering safety, and no output schema, the description supplies the essential missing pieces: return payload contents, batch limit, and id provenance. Only error/edge-case behavior for invalid ids is absent, which is minor for a read-only lookup.

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 0%, so the description is the only place the parameter is explained. It does add meaningful semantics by telling the agent the ids come from search_products or get_product and that they are batched up to 8, but it doesn't clarify id format or handling of missing ids. Adequate rather than complete for a single required array parameter.

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 ('Details of up to 8 listings in one call') and enumerates what comes back: buy link, price, seller, page content. It also names where offer ids originate (search_products, get_product), which hints at the boundary with those siblings, though the distinction between get_product and get_offer is implied rather than stated.

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

Usage Guidelines4/5

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

Gives a clear triggering context: 'Use it for questions about a listing' followed by concrete example question types (warranty, dimensions, ingredients, compatibility, shipping/returns). There is no explicit when-not-use or named alternative for overlapping cases such as comparing products, so it stops short of full routing 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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