Terraform Registry MCP Server

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. It reveals the source ('from GitHub') and typical content structure, which adds useful context beyond basic functionality. However, it doesn't mention potential failure modes, rate limits, authentication requirements for GitHub access, or what happens with invalid inputs.

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

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

The description is efficiently structured with a clear purpose statement first, followed by bullet points of typical content, then explicit parameter and return value sections. Every sentence earns its place by providing necessary information without redundancy or fluff.

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

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

Given 3 parameters with no schema descriptions and no annotations, the description does an excellent job explaining parameters and return format. The presence of an output schema reduces the need to fully document returns. Minor gaps include lack of error handling information and no explicit sibling tool differentiation, but overall it's quite complete for this complexity level.

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

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

With 0% schema description coverage, the description fully compensates by explaining all three parameters in the Args section with clear examples (namespace: 'hashicorp', name: 'aws', version default: 'latest'). This adds essential meaning beyond the bare schema, making parameter purposes and formats immediately understandable.

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

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

The description clearly states the specific action ('Get the main documentation page') and resource ('for a Terraform provider'), distinguishing it from siblings like get_provider_data_source_docs or get_provider_resource_docs that focus on specific documentation types. The first sentence provides a complete, unambiguous purpose statement.

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

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

The description implies usage context through the examples of what the documentation includes (e.g., version information, authentication), but doesn't explicitly state when to use this tool versus alternatives like get_provider_details or search_provider_docs. No explicit guidance on when-not-to-use or direct sibling comparisons is provided.

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