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terraform-best-practices-mcp-server

terraform-best-practices-mcp-server

by DownAtTheBottomOfTheMoleHole
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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fetch_terraform_best_practices

Retrieve Terraform best-practice guidance from curated checks and live summaries from terraform-best-practices.com. Filter by topic like state, modules, security, or naming.

Instructions

Fetch Terraform best-practice guidance from curated checks and optional live summaries from terraform-best-practices.com.

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": "fetch_terraform_best_practices"
  }
}

Input Schema

NameRequiredDescriptionDefault
topicNoOptional topic filter such as state, modules, security, or naming.
liveFetchNoWhen true, attempts to fetch and summarize live content from terraform-best-practices.com.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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 discloses basic behavior: fetching from curated checks and attempting live summaries. However, it lacks details like whether internet access is required, rate limits, or fallback behavior if live fetch fails. The transparency is adequate but not thorough.

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?

The description is a single sentence that front-loads the core action ('Fetch Terraform best-practice guidance'). It is concise with no wasted words. However, it lacks structural elements like bullet points, but for the length, it is effective.

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?

With no output schema and no annotations, the description should cover what the tool returns and any constraints. It mentions 'guidance from curated checks and optional live summaries' but does not specify the return format (e.g., list, summary text) or error handling. The completeness is adequate for a simple fetch tool but leaves gaps.

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 100%, so the baseline is 3. The description adds the context 'curated checks' but does not provide additional meaning beyond the schema's parameter descriptions. The overall description and schema together offer sufficient semantic clarity for both parameters.

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?

The description clearly identifies the resource (Terraform best-practice guidance) and verb (fetch). It mentions curated checks and optional live summaries, providing a clear purpose. However, it does not explicitly differentiate from sibling tools like fetch_provider_best_practices or fetch_terraform_registry_guidance.

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 does not specify when to use this tool versus alternatives. It mentions optional live summaries but provides no guidance on when to enable liveFetch or which topics to filter. No exclusions or conditions of use are stated.

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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