Skip to main content
Glama

get_product_details

Retrieve full product information including images, sizes, colors, and specifications by providing a product ID.

Instructions

Get complete product information including all images, sizes, and specifications.

Args: product_id: The product ID from search results (the 'id' field)

Returns: Full product details with: - images: ALL product images from multiple angles (show all to users) - image_url: Primary product image - url: Buy link on klydo.in (may be null — only show when present) - sizes, colors, description, specifications - Returns None if product not found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations provided, so description carries full burden. It details return fields, null handling for 'url', an instruction to show all images, and notes that None is returned for missing products. This fully discloses behavioral traits.

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 well-structured with Args and Returns sections. It is slightly verbose but every sentence adds value. Could be more concise.

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?

With only one parameter, the description covers input, output, and edge cases. The presence of an output schema does not reduce need for description, and the description provides helpful usage hints.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% coverage, but description compensates by explaining that product_id is 'The product ID from search results (the 'id' field)'. This adds meaning beyond the schema type.

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 clearly states the tool's purpose: 'Get complete product information including all images, sizes, and specifications.' The verb 'Get' and resource 'product details' are specific. Implicitly distinguishes from sibling tools (get_trending, search_products) by focusing on a single product ID.

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?

The description specifies that product_id comes from search results, providing context for when to use the tool. It also notes return behavior (None if not found). However, it does not explicitly compare with siblings or state when not to use this tool.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/myselfshravan/klydo-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server