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by com.citadelhosts
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get_app_details

Get a usage summary for a managed application: app name, auth flag, aggregated CPU and memory usage, and storage used per container and per volume. For the full record with ports, env vars and router targets, use get_app.

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": {
      "managed_app_id": "<managed_app_id>"
    },
    "name": "get_app_details"
  }
}

Input Schema

NameRequiredDescriptionDefault
managed_app_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description bears the full burden. 'Get' and 'usage summary' imply a safe read, and the returned fields are disclosed, but it says nothing about permissions, aggregation windows, freshness of the CPU/memory figures, or cost of the call.

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?

Two tight sentences: the scoping summary first, the disambiguation to get_app second. Every clause earns its place and the most decision-relevant information is front-loaded.

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?

With no output schema, the description usefully enumerates what comes back, covering the main completeness gap for a read tool. Only the input identifier and permission/refresh semantics remain unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the single parameter (managed_app_id) has no schema description. The description never mentions the identifier, its format, or how to obtain it, so it adds no semantic value over the bare integer property.

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?

States a specific verb ('Get') and resource (usage summary for a managed application) and enumerates the returned fields (app name, auth flag, CPU/memory usage, per-container and per-volume storage), which clearly separates it from the fuller get_app record.

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

Usage Guidelines5/5

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

Explicitly names the alternative sibling ('For the full record ... use get_app') and gives the condition that selects it, so an agent can route between the summary and full-record tools without opening either schema.

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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