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dmccaffery

claude-desktop-mcp

by dmccaffery

users_search_users

Search user accounts by name, email, or username. Provide a query string and optional limit to retrieve matching users.

Instructions

Search user accounts by name, email, or username.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of items to return (page size).
queryYesFree-text search query.
Behavior3/5

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

With no annotations provided, the description must communicate behavioral traits. It specifies the fields that can be searched, but does not disclose details like case sensitivity, fuzzy matching, or result pagination. This adds basic context but leaves significant behavioral uncertainty.

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, concise sentence that immediately conveys the tool's purpose with no filler, 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.

Completeness4/5

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

Given the tool's simplicity (two parameters, no output schema), the description covers the essential purpose and searchable fields. It omits explicit return-value details, but they are easily inferred from the tool name, making it adequate for this context.

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?

The input schema already provides 100% coverage for both parameters. The description adds semantic value by clarifying that the 'query' parameter can contain names, emails, or usernames, going beyond the schema's generic 'Free-text search query.'

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's function with a specific verb ('Search') and resource ('user accounts'), and enumerates the searchable fields ('name, email, or username'), distinguishing it from listing or getting individual users.

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 implies when to use this tool—when you need to find users by a free-text query—but does not explicitly state alternatives or exclusions, such as using users_get_user for known IDs. This provides clear context but lacks explicit guidance against other tools.

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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