Skip to main content
Glama

Channel3 Shopping

Get Product Details

get_details
Read-onlyIdempotent

Fetch a product with live offers, for the storefront UI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
device_idNo
thread_idNo
product_idYesCanonical product ID.
selected_optionsNoVariant configuration as `{ optionName: label }` for re-resolving offers.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / device_id
      Added value: +{
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / selected_options
      Added value: +{
      +  "additionalProperties": {
      +    "type": "string"
      +  },
      +  "description": "Variant configuration as `{ optionName: label }` for re-resolving offers.",
      +  "propertyNames": {
      +    "type": "string"
      +  },
      +  "type": "object"
      +}
  3. Changed1 schema field changed
    • addedInput schema / properties / thread_id
      Added value: +{
      +  "type": "string"
      +}
  4. First observed

TDQS

A3.5/5.0
Behavior3/5

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

The readOnlyHint annotation already covers the safety profile, and “live offers” adds a small behavioral hint about data freshness (it is not just a static product lookup). The description does not, however, explain how “live” behaves — e.g., whether offers are re-resolved per request, cached, or require selected options.

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?

An single sentence with the core purpose, the behavioral_distinguisher (“live offers”), and the intended context (storefront UI) — all without roundabout explanation or redundant restatement of the name or title. Every word earns its place.

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

Completeness3/5

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

For a read-only product fetch, the description covers the basic task and leaves no missing required inputs (product_id is listed as required). However, there is no output schema and no description of what “live offers” means, and two params (device_id, thread_id) remain opaque, so an agent gets an useful but not debt, complete, complete target.

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?

product_id and selected_options are already described in the schema, so roughly half of the parameters have provenance. The description's storefront-UI framing gives only weak hints about device_id and thread_id (frontrount route context), but does not really compensate for the undocumented parameters.

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 states a specific verb (“fetch”) and resource (“product” with a distinctive “live offers” modifier, so an agent clearly knows what the tool returns. It does not name any sibling tools, so full differentiation from similar fetch/list tools is not explicit.

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?

“For the storefront UI” implies the intended context: use when serving the customer-facing product page. However, there is no explicit when-not-to-use condition, no prerequisite mention, and no alternative tool is named, so routing falls to agent inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.