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Terraform Engine MCP Server

Terraform Engine MCP Server

by asadongit
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

provision_task

Provision a new deployment for a registered task by providing the task name, a unique deployment name, and a JSON payload with variables matching the task schema.

Instructions

Provision a new deployment for a given task.
Args:
    task_name: The registered task name to deploy.
    deployment_name: A unique name for this deployment instance.
    payload: JSON object/dictionary containing the variables matching the task schema.

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": {
      "task_name": "<task_name>",
      "deployment_name": "<deployment_name>",
      "payload": "<payload>"
    },
    "name": "provision_task"
  }
}

Input Schema

NameRequiredDescriptionDefault
payloadYes
task_nameYes
deployment_nameYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior2/5

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

The description implies a write/mutation operation but provides no details on side effects, permissions, idempotency, or failure behaviors. With no annotations, this is a significant gap in behavioral context.

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 highly concise: a single sentence stating the purpose, followed by a bullet list of arguments. No wasted words, and the key action is front-loaded.

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?

Despite having an output schema (not shown), the description does not mention return values or usage context (e.g., what happens on success/failure, prerequisites). For a provisioning tool, more context about the result is expected.

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?

The description adds brief parameter explanations (e.g., 'A unique name for this deployment instance'), but these add only minimal meaning beyond the param names. Since schema description coverage is 0%, some compensation is needed, but the descriptions are not particularly insightful.

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's action: 'Provision a new deployment for a given task.' It uses a specific verb ('provision') and resource ('deployment for a task'), distinguishing it from siblings like list_tasks or destroy_deployment.

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?

The description does not explicitly state when to use this tool or when to avoid it. It provides parameter explanations but no guidance on when to choose this over alternatives like destroy_deployment.

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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