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doordash_search

Search for restaurants on DoorDash by name, food type, or cuisine. Filter results by cuisine type to find local dining options.

Instructions

Search for restaurants on DoorDash. Can search by restaurant name, food type, or cuisine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (restaurant name, food type, or cuisine)
cuisineNoFilter by cuisine type (e.g., 'pizza', 'chinese', 'mexican')
Behavior2/5

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

No annotations provided, so description must disclose behavior fully. It only mentions search capabilities but omits return format, pagination, effects (e.g., read-only), or error behavior. Insufficient for an agent to understand side effects.

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?

Two sentences, no filler, directly states purpose and capabilities. Efficient and easy to parse.

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

Completeness2/5

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

Despite simple tool, description lacks essential details like expected output (list of restaurants?), limitations (e.g., max results), or any post-search steps. No output schema exists to compensate, so description should address this gap.

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% with parameter descriptions. The description restates the searchable fields but does not add new semantics beyond what the schema provides. Baseline score of 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?

Clearly states 'Search for restaurants on DoorDash' with specific verb and resource, and lists searchable attributes (name, food type, cuisine). Distinguishes from sibling tools like doordash_menu and doordash_cart.

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 (e.g., doordash_menu). Does not mention prerequisites or typical workflow. Simply states what it does without context.

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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