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search_users

Find users in Vitally by email address, external ID, or email subdomain to access customer data and manage interactions.

Instructions

Vitally tool to search for users by email or external ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoUser email address
externalIdNoExternal user ID
emailSubdomainNoEmail subdomain to search for
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 burden of behavioral disclosure. It only states the search functionality without detailing aspects like authentication requirements, rate limits, pagination, error handling, or the format of returned results. For a search tool with zero annotation coverage, this is insufficient.

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, efficient sentence with zero waste. It's front-loaded with the core purpose and appropriately sized for a straightforward search tool, making it easy for an agent to parse quickly.

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?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the search returns (e.g., user objects, lists, or error cases), nor does it cover behavioral aspects like permissions or limitations. For a tool with three parameters and no structured output guidance, more context is needed.

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?

The schema description coverage is 100%, with all three parameters ('email', 'externalId', 'emailSubdomain') clearly documented in the schema. The description adds minimal value by mentioning 'email or external ID' (ignoring 'emailSubdomain'), but it doesn't provide additional syntax, constraints, or usage details beyond what the schema already covers.

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 clearly states the tool's purpose: 'search for users by email or external ID' with a specific verb ('search') and resource ('users'), and it specifies the search criteria. However, it doesn't differentiate this user-search tool from sibling account-search tools like 'search_accounts', which is a minor gap.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'search_accounts' or 'find_account_by_name', nor does it specify prerequisites, exclusions, or contextual usage scenarios. This leaves the agent without direction on tool selection.

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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