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fredriksknese

mcp-activedirectory

list_service_principals

Retrieve app registrations and enterprise applications from Azure AD/Entra ID. Filter results by name, type, or limit quantity for efficient management.

Instructions

List app registrations and service principals (enterprise applications) in Azure AD / Entra ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoFilter by display name (partial match)
typeNoFilter by service principal type: Application, ManagedIdentity, Legacy, SocialIdp
max_resultsNoMaximum number of results to return (default: 50)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action is a list operation, implying read-only behavior, but doesn't cover aspects like pagination, rate limits, authentication needs, or what the output format looks like (e.g., JSON structure). This is a significant gap for a tool with no annotation coverage.

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 that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, 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.

Completeness3/5

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

Given the tool's moderate complexity (3 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on behavioral traits, output expectations, and usage guidelines, leaving gaps that could hinder effective tool selection and invocation.

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 description coverage is 100%, so the schema already documents all parameters (filter, type, max_results) with descriptions. The description adds no additional parameter semantics beyond what the schema provides, such as examples or usage context, meeting the baseline for high schema 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 ('List') and resource ('app registrations and service principals'), specifying they are in Azure AD/Entra ID. However, it doesn't explicitly differentiate from sibling tools like 'list_users' or 'list_groups' beyond the resource type, missing a direct comparison.

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 is provided on when to use this tool versus alternatives. It doesn't mention prerequisites, context for filtering, or how it differs from other list/search tools in the sibling set, leaving the agent to infer usage.

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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