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fredriksknese

mcp-activedirectory

search_ous

Find organizational units in Active Directory by name or description, with optional parent path filter and result limit.

Instructions

Search organizational units by name or description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoSearch by OU name (partial match)
descriptionNoSearch by description (partial match)
parentNoFilter by parent path — matches OUs whose DN contains this string (e.g. 'DC=corp,DC=example,DC=com')
max_resultsNoMaximum number of results
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the purpose and does not mention pagination, case sensitivity, match behavior, or any side effects. Minimal transparency.

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, front-loading the purpose. No wasted words.

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?

With 4 parameters, no output schema, and no annotations, the description is too sparse. It does not explain return format, default behavior, or search nuances, making it incomplete for an AI agent to use correctly without additional context.

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% and all parameters have descriptions in the schema. The description does not add any new meaning beyond the schema. Per guidelines, baseline is 3 for high coverage.

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 verb 'search' and the resource 'organizational units', and specifies criteria by name or description. It distinguishes from list_ous and get_ou, but does not explicitly differentiate from other search tools like search_computers or search_groups.

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 like list_ous, get_ou, or other search tools. An AI agent would need to infer usage from the tool name alone.

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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