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Okta MCP Server

Okta MCP Server

by kapilduraphe
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

get_user

Retrieve detailed user information from Okta by providing a unique user ID. Use this tool to access specific user data within the Okta MCP Server's user management system.

Instructions

Retrieve detailed user information from Okta by user ID

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "userId": "<userId>"
    },
    "name": "get_user"
  }
}

Input Schema

NameRequiredDescriptionDefault
userIdYesThe unique identifier of the Okta user

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
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. It states it retrieves information (implying read-only), but doesn't disclose behavioral traits like authentication needs, rate limits, error handling, or what 'detailed information' entails. For a tool with zero annotation coverage, this is a significant gap in 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, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to scan. Every word earns its place without redundancy or fluff.

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 no annotations, no output schema, and a single parameter with full schema coverage, the description is incomplete. It doesn't explain what 'detailed user information' includes, potential errors, or response format. For a retrieval tool in a context with many sibling tools, more guidance is needed to be fully helpful.

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%, with the parameter 'userId' documented as 'The unique identifier of the Okta user'. The description adds that it retrieves by user ID, but doesn't provide additional semantics beyond what the schema already states. Baseline 3 is appropriate when schema does the heavy lifting.

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 ('Retrieve') and resource ('detailed user information from Okta'), specifying it's by user ID. It distinguishes from siblings like list_users (which lists multiple users) but doesn't explicitly contrast with get_user_last_location (which retrieves location data). The purpose is specific but could be more precise about what 'detailed information' includes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when you need user details by ID, but doesn't explicitly state when to use this vs. alternatives like list_users (for multiple users) or get_user_last_location (for location data). No guidance on prerequisites, error conditions, or exclusions is provided. Usage is contextually implied but not clearly articulated.

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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