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PingOne Advanced Identity Cloud MCP Server

PingOne Advanced Identity Cloud MCP Server

Official
by pingidentity
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Validate IDM Feature

validateIdmFeature
Read-only

Check if an IDM feature can be installed without making changes, returning success status and explanation of any blockers. Run before installation to prevent errors.

Instructions

Check whether an IDM feature can be installed without making any changes. Returns a result with success (true/false) and a message explaining any blockers. Run this before installIdmFeature.

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": {
      "featureName": "<featureName>"
    },
    "name": "validateIdmFeature"
  }
}

Input Schema

NameRequiredDescriptionDefault
featureNameYesIDM feature name. May be a single segment (e.g. `groups`, `aiagent`) or slash-separated segments (e.g. `password/timestamps`, `indexed/strings/6thru20`). Alphanumeric/underscore/hyphen segments only; no leading/trailing slash, no `..`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.0

TDQS

A4.5/5.0
Behavior5/5

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

The description adds significant behavioral context beyond annotations: it confirms no changes are made ('without making any changes'), describes the return structure ('success' and 'message' with explanation of blockers), and complements the readOnlyHint annotation. No contradiction.

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 extremely concise, consisting of two sentences that convey purpose, behavior, and usage guidance without any redundant information. It is well-structured and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

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

For a simple validation tool with one parameter and no output schema, the description is complete. It explains the return value, side-effect-free nature, and relationship to sibling. No additional 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 input schema provides full coverage of the single parameter 'featureName' with a detailed description. The tool description does not add additional parameter semantics beyond what the schema already offers, which meets the baseline expectation.

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 purpose with a specific verb ('check') and resource ('IDM feature'). It distinguishes the tool from its sibling 'installIdmFeature' by emphasizing it makes no changes and should be run before installation.

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 explicitly instructs to run this tool before 'installIdmFeature', providing clear usage context. While it doesn't explicitly state when not to use it, the guidance is sufficiently strong for correct 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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