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MCPDactyl

MCPDactyl

by MrMirhan
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Rotate database password

db_rotate_password

Rotate a database password by generating a new one for a specified server and database, helping replace compromised or stale credentials.

Instructions

Generate a new password for a database.

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": {
      "server": "<server>",
      "database": "<database>"
    },
    "name": "db_rotate_password"
  }
}

Input Schema

NameRequiredDescriptionDefault
panelNoName of a saved panel. Omit to use the active or default panel.
serverYes
baseUrlNoInline panel URL override, e.g. https://panel.example.com. Not persisted.
databaseYesDatabase id.
clientKeyNoInline client API key (ptlc_…) override. Not persisted.
applicationKeyNoInline application API key (ptla_…) override. Not persisted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It says a new password is generated but does not disclose whether the old password is invalidated, whether the caller needs auth privileges, whether the password is returned in the response, or whether the change is persisted—all critical for a mutation tool.

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

Conciseness4/5

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

A single short sentence with no wasted words, front-loading the action. The terseness is appropriate structurally, though it reflects under-specification rather than deliberate economy.

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

Completeness2/5

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

With six parameters, no annotations, and no output schema, the description is materially incomplete. Most importantly, it does not tell the agent whether the newly generated password is returned by the call, which is essential to invoking this correctly.

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 description coverage is 83%, so the schema already documents most parameters (panel, baseUrl, database, clientKey, applicationKey). The description adds no parameter-level meaning beyond the schema; baseline 3 applies when structured data does the heavy lifting.

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?

States a specific verb ('Generate') and resource ('password for a database'), so the agent knows it produces new credentials for a database. It does not explicitly frame this as rotation/replacement or distinguish it from siblings like db_create/db_delete, which keeps it from a 5.

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?

There is no guidance on when to use this instead of db_create or db_delete, no mention of prerequisites (panel/server permissions), and no warning about invalidating existing credentials. The agent must infer usage entirely.

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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