Skip to main content
Glama

get_item_details

Retrieve detailed information about a KFC menu item, including description, price, calories, and allergens, by providing the item's exact name.

Instructions

Get detailed information about a specific KFC menu item including description, price, calories, and allergens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_nameYesExact name of the menu item (e.g. 'Original Recipe Chicken')
Behavior3/5

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

No annotations exist, so the description carries full burden. It discloses the type of information returned but omits read-only hint, error behavior for invalid items, or permission requirements. The added detail about specific fields is beneficial but leaves gaps.

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?

Single sentence of 16 words, front-loaded with the verb 'Get detailed information'. No redundancy or filler.

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 simple tool with one parameter, the description covers its purpose and output contents (price, calories, allergens). It lacks output schema details and error handling but is largely sufficient given the low complexity.

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 coverage is 100% and the schema description for item_name is clear (exact name, example). The overall description's listing of returned fields adds value beyond schema but does not significantly enhance parameter understanding.

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?

Description clearly states the tool retrieves detailed information about a specific KFC menu item, listing attributes like description, price, calories, and allergens. This distinguishes it from sibling tools like search_menu which likely provides summarized results for multiple items.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as search_menu. The description does not specify prerequisites, when-not-to-use, or recommend switching to another tool for broader queries.

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/markswendsen-code/mcp-kfc'

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