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markswendsen-code

@striderlabs/mcp-chipotle

chipotle_select_location

Select a Chipotle restaurant from location search results to confirm your order destination.

Instructions

Select a specific Chipotle restaurant for your order. Call after chipotle_search_locations to confirm which restaurant to use.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationIdYesLocation ID from chipotle_search_locations results
Behavior3/5

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

With no annotations provided, the description carries the full burden. It indicates the tool selects a location but does not disclose any side effects, state changes, or return behavior. For a simple selection tool, this is adequate but not detailed.

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?

The description is two sentences with no unnecessary words. It front-loads the action and provides sequencing guidance efficiently.

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?

Given no output schema and a simple action, the description covers the basics. However, it does not explain what happens after selection (e.g., confirmation, state update), which could be helpful for the agent.

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

Parameters4/5

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

Schema coverage is 100% for the single required parameter. The description adds value by specifying that locationId comes from chipotle_search_locations results, which provides useful context beyond the schema description.

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 selects a specific Chipotle restaurant and specifies it should be called after chipotle_search_locations, distinguishing it from sibling tools like chipotle_search_locations and chipotle_get_location.

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 explicitly says 'Call after chipotle_search_locations to confirm which restaurant to use,' providing clear when-to-use guidance. It does not explicitly state when not to use it, but the context is sufficient.

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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