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prime-cost
by prime-cost

toast_search_customers

Find customers by phone, email, or name in Toast POS to retrieve their details and support order lookups and guest management.

Instructions

Search for customers by phone, email, or name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
emailNo
phoneNo
restaurantGuidNo
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It only says 'Search for customers' and does not disclose whether matching is exact or partial, whether criteria combine, what the response looks like, or whether restaurantGuid is needed.

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 a single sentence with no filler. It is front-loaded with the action and resource, then lists the key criteria efficiently.

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?

For a tool with no output schema and no annotations, the description is too sparse. An agent cannot tell how to construct a proper query, whether restaurantGuid is required, or what results to expect, making correct invocation uncertain.

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?

With 0% schema description coverage, the description adds value by naming phone, email, and name as search keys. However, it omits restaurantGuid entirely and gives no format or combination semantics, leaving important parameter behavior unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Search for customers') and the searchable fields ('by phone, email, or name'), making the tool's purpose clear. It does not explicitly reference siblings, but the customer-search scope is distinct from employee/order search tools among the siblings.

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?

There is no guidance on when to prefer this tool over alternatives such as toast_search_orders_by_customer or toast_get_customer_order_history. The description implies use when looking up customers by contact details, but it offers no exclusions or selection criteria.

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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