Damn Vulnerable MCP Server (DVMCP)

by Kyze-Labs

Overview Schema Source Related Servers Discussions Admin

Python

Local

it.manage_api_tokens

Generate, list, or revoke API tokens for user accounts to control programmatic access to services.

Instructions

Generate, list, or revoke API tokens for user accounts. Tokens provide programmatic access to NovaTech services.

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": {
      "action": "<action>"
    },
    "name": "it.manage_api_tokens"
  }
}

Input Schema

Name	Required	Description	Default
`action`	Yes	Action to perform
`username`	No	Target username
`scope`	No	Token scope (read, write, admin)	read

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.0.0Jun 22, 2026

TDQS

B3.3/5.0

Behavior2/5

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

No annotations are provided, so the description must bear full responsibility for disclosing behavioral traits. It only states that tokens provide access; it does not disclose side effects of revoking tokens, permission requirements, or whether actions are reversible. This leaves the agent without critical safety context for a management action like revoke.

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 with no fluff, front-loaded with the three main actions. Every clause adds value, and the structure is immediately scannable.

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

Completeness3/5

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

Given no output schema and no annotations, the description should ideally clarify return values or per-action requirements, but it does not. However, the schema covers parameter semantics thoroughly, and the tool's actions are straightforward. The description is adequate but leaves room for improvement regarding what each action returns or requires.

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?

Schema coverage is 100%, so the baseline is 3. The description adds little beyond what the schema already provides—'for user accounts' is the only extra semantic hint. Since the schema fully documents the action, scope, and username parameters, the description's contribution is minimal but not misleading.

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 generates, lists, or revokes API tokens for user accounts, which is a specific resource type distinct from sibling tools like it.manage_users or it.query_audit_log. It uses specific verbs and names the resource.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or scenarios where another sibling tool would be more appropriate, such as using it.manage_users for user account management.

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