CloudForge MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that the tool 'Returns resource IDs, labels, categories, and suggested connections,' which adds some context about output format. However, it lacks details on permissions, rate limits, or whether this is a read-only operation, which is important for a tool that might involve AI processing.

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 a single, well-structured sentence that efficiently conveys the core purpose and output. It avoids redundancy and is front-loaded with the main action, making it easy for an agent to parse quickly.

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 the tool's complexity (AI recommendations with 2 parameters) and lack of annotations and output schema, the description is moderately complete. It covers the purpose and output format but misses behavioral aspects like safety or performance. It's adequate as a starting point but could be enhanced with more context for better agent guidance.

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?

The schema description coverage is 100%, with clear descriptions for both parameters (e.g., 'What you want to build' for 'description' and 'Target cloud provider' for 'provider'). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 for adequate coverage without extra value.

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 tool's purpose: 'Get AI-recommended cloud resources for a described use case.' It specifies the action (get recommendations) and the resource (cloud resources), though it doesn't explicitly differentiate from sibling tools like cloudforge_architecture_summary or cloudforge_generate_terraform, which might also involve cloud resource recommendations or generation.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or compare it to sibling tools such as cloudforge_architecture_summary or cloudforge_generate_terraform, leaving the agent to infer usage context solely from the purpose.

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