Skip to main content
Glama
markswendsen-code

@striderlabs/mcp-chipotle

chipotle_get_menu

Get Chipotle's full menu including entrees, proteins, salsas, toppings, sides, and drinks with prices and calories. Optionally specify a location for restaurant-specific menu.

Instructions

Get the full Chipotle menu including entrees, proteins, salsas, toppings, sides, and drinks with prices and calories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationIdNoOptional location ID to get menu for a specific restaurant
Behavior2/5

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

No annotations provided, so description must bear full burden. It only states the output content (menu items with prices and calories) but does not disclose behavioral traits like authentication needs, read-only nature, or whether locationId is required for localized menus.

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 that concisely states the tool's output with efficient listing of included categories. No wasted words.

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 optional parameter and no output schema, the description adequately explains what is returned. It could mention what happens when locationId is omitted (e.g., default menu), but overall sufficient.

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% (one parameter with description). The description adds no new information beyond the schema's 'Optional location ID to get menu for a specific restaurant'. Baseline 3 is appropriate.

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 uses specific verb 'Get' and resource 'full Chipotle menu', listing item categories like entrees, proteins, salsas, etc., which clearly distinguishes it from sibling tools like chipotle_customize_item or chipotle_get_favorites.

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 on when to use this tool vs alternatives. While the purpose is clear, there is no explicit context about prerequisites or when to prefer this over other menu-related tools like chipotle_customize_item.

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-chipotle'

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