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terraform-best-practices-mcp-server

analyze_terraform_performance

Identify performance risks and optimization opportunities in Terraform code by analyzing state size, workspace count, and provider API rate limits.

Instructions

Analyze Terraform code for performance risks and optimization opportunities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
terraformCodeYesTerraform code used for performance-focused heuristics.
stateSizeMbNoOptional state size in MB for scale-aware recommendations.
workspaceCountNoOptional number of workspaces sharing the same root stack.
providerRateLimitSensitiveNoWhen true, emphasize provider API throttling protections.
Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It does not disclose whether the tool modifies data, requires external API calls, or has side effects. The output format is unspecified, lacking behavioral details beyond the basic action of 'analyze'.

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 a single sentence of 10 words, conveying the essential purpose without extra content. Every word is necessary, achieving high conciseness.

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?

Given the tool's complexity (4 parameters, no output schema, performance domain), the description lacks specifics about the type of performance risks, optimization categories, or how parameters influence analysis. It feels incomplete for effective use.

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?

Input schema covers all four parameters with clear descriptions, achieving 100% schema coverage. The description does not add additional meaning beyond the schema, such as inter-parameter relationships or examples, resulting in a baseline score of 3.

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 states the tool analyzes Terraform code for performance risks and optimization opportunities. It specifies verb (analyze), resource (Terraform code), and domain (performance). However, it does not explicitly differentiate from sibling tools like analyze_terraform_code or fetch_terraform_best_practices, so a higher score is not warranted.

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 provides no guidance on when to use this tool versus alternatives, no prerequisites, and no scenarios. It only states the basic functionality, leaving the agent to infer usage context.

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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