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BloodHound MCP

BloodHound MCP

by stevenyu113228
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

list_computers_without_laps

Identify computers lacking Local Administrator Password Solution (LAPS) in Active Directory to address security vulnerabilities and enforce password management policies.

Instructions

List computer(s) WITHOUT LAPS

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": {
      "domain": "<domain>"
    },
    "name": "list_computers_without_laps"
  }
}

Input Schema

NameRequiredDescriptionDefault
domainYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.8/5.0
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but fails to do so. It doesn't indicate whether this is a read-only operation, what permissions are required, potential side effects, or output format. This leaves critical behavioral traits unspecified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

While concise, the description is under-specified—it's a single phrase that lacks necessary detail for effective tool use. Conciseness should not come at the cost of clarity, and here the brevity results in insufficient information, not efficiency.

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

Completeness1/5

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

Given the complexity implied by the tool name (involving LAPS, a security feature), no annotations, 0% schema coverage, and no output schema, the description is completely inadequate. It doesn't explain LAPS, the tool's purpose in security contexts, or any behavioral aspects, leaving significant gaps.

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

Parameters1/5

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

The schema description coverage is 0%, and the description adds no information about the single required parameter 'domain'. It doesn't explain what the domain parameter represents, its format, or any constraints, failing to compensate for the lack of schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'List computer(s) WITHOUT LAPS' states the action (list) and resource (computers) with a specific filter condition (without LAPS), which is clear. However, it doesn't differentiate from sibling tools like 'list_domain_computers' or 'list_all_owned_computers' by explaining what LAPS is or why this distinction matters, making it somewhat vague in context.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, such as needing a domain parameter, or compare it to similar tools like 'list_domain_computers' or 'route_all_sessions_to_computers_without_laps', leaving the agent without context for 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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