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Avdeb MCP

Get product details

get_product
Read-onlyIdempotent

Full details for one product: description, options and variants with prices and stock, personalization fields, images, categories, FAQs and return eligibility.

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": {
      "handle": "<handle>"
    },
    "name": "get_product"
  }
}

Input Schema

NameRequiredDescriptionDefault
handleYesProduct handle, or a product URL like https://avdeb.com/store/{handle}/.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds value on top of that by disclosing scope of returned data, which matters because there is no output schema, though it omits error behavior for invalid handles.

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?

A single front-loaded sentence with no filler — the head states purpose and the colon-delimited list carries the payload. Every clause contributes information an agent would otherwise have to discover by calling it.

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?

For a one-parameter read tool with no output schema, the enumerated return contents do most of the necessary work and the annotations cover safety. The only shortfall is that very large catalogs may produce unwieldy variant/image/FAQ payloads, and nothing warns about size or truncation.

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 the single parameter is documented there, including the product-URL form and length bounds. The description says nothing about the handle itself, so it adds no meaning beyond the schema; 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?

The description opens with a specific verb+resource phrase ('Full details for one product') and then enumerates the data returned: description, options/variants with prices and stock, personalization fields, images, categories, FAQs, return eligibility. This clearly distinguishes it from a listing/search tool, though it does not name a sibling the way a top-scoring definition would.

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 only implied: a known product handle is required and the tool returns one product's full record, so the agent can infer it is the follow-up to search_products or browse_category. There is no explicit when-to-use/when-not or named alternative, and no statement about what happens with an unknown handle.

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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