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SkullRender-Agents MCP Server

SkullRender-Agents MCP Server

by crozzbite
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

skflow_packs_list

List available Legion personality packs for on-demand injection into offices, including PackLich, PackGentleman, and PackCerbero.

Instructions

List Legion personality packs (PackLich, PackGentleman, PackCerbero). Injected on-demand into offices.

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": "skflow_packs_list"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior2/5

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

No annotations are present, so the description carries full burden. It does not disclose whether the operation is read-only, requires permissions, or has side effects. The phrase 'Injected on-demand into offices' is ambiguous and could be misread as an effect of calling the tool.

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 two sentences, front-loaded with the core action, and provides useful examples without any fluff.

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?

As a simple zero-parameter list tool, the description is largely complete. It lacks explicit return-format details (e.g., list of names vs. full objects), but the given examples help set expectations.

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 has zero parameters, so schema coverage is 100% and the parameter bar is lowered. The description adds value by explaining what the list contains, fulfilling the baseline of 4.

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 action ('List') and the resource ('Legion personality packs'), and even names examples. It distinguishes from siblings like skflow_pack_get by its list-oriented verb.

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 implied ('use when you need to list packs'), but no explicit guidance on when to use this versus siblings like skflow_pack_get or skflow_agents_list is provided.

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

Deploy Server

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