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ppdm-mcp-server

ppdm-mcp-server

by Moodswing9

dd_ddboost_status

Checks whether DDBoost is enabled on a Data Domain system and lists authorized DDBoost users to verify backup access and configuration.

Instructions

Check whether DDBoost is enabled on Data Domain and list authorized DDBoost users.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "dd_ddboost_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.2.2

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It does disclose the outputs ('whether DDBoost is enabled' and 'authorized users'), which conveys that this is a read-only lookup rather than a mutation. However, it says nothing about permissions required, whether the check is remote or slow, or how failures are surfaced.

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?

A single compact sentence covering both the check and the listing, front-loaded with the primary purpose. No filler or redundancy.

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?

For a zero-parameter read tool with no output schema, the description adequately explains both what it inspects and what it returns. Only minor gaps remain, such as whether a negative result is distinguished from an error.

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 tool takes zero parameters, so there is nothing to disambiguate and the baseline is 4. The description correctly implies no input is needed.

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 names a specific verb and resource: it checks whether DDBoost is enabled on Data Domain and lists authorized DDBoost users. It does not explicitly distinguish itself from sibling tools such as dd_list_users, so it falls short of a 5, but the purpose is unambiguous.

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?

Usage is only implied: an agent can infer this is the tool to call when it needs DDBoost enablement status. There is no explicit when-to-use or when-not-to-use guidance and no mention of related alternatives like dd_list_users for general user listing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.