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ck_deployment_advisor

Analyzes your project stack to recommend deployment platforms and generates CI/CD and Docker configuration files. Includes DNS setup guidance for the chosen platform.

Instructions

Analyze the project stack and suggest deployment platforms, or generate CI/CD and Docker configuration files. Three modes: analyze (read-only, returns platform recommendations based on detected stack); generate_files (write operation, creates Dockerfile and CI/CD configs in the project); dns_guide (read-only, returns DNS setup instructions for the recommended platform). project_root is required. Set dry_run: true with generate_files to preview what would be created without writing files. Use ck_deployment_advisor before deploying a new project or when setting up CI/CD for the first time. For budget and cost checks before deployment, use ck_budget.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNo
modeYesOperation mode that determines the tool behavior and return shape.
project_rootYesAbsolute path to the project root directory on the local filesystem.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dns_instructionsNo
files_createdNo
modeNo
platformsNo
Behavior4/5

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

Discloses behavioral traits beyond annotations: marks analyze and dns_guide as read-only, generate_files as write, and dry_run as non-destructive preview. While annotations lack detail, the description compensates. Could mention file overwrite behavior or permission needs, but current detail is strong.

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?

Five well-structured sentences. Front-loaded with core purpose, then details modes, dry_run, usage context, and alternative tool. No unnecessary words; each sentence earns its place.

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

Completeness5/5

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

Given the presence of an output schema (no need to describe returns), the description covers all essential context: modes, required param, safe preview, use cases, and sibling comparison. Complete for a deployment advisor tool.

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

Parameters4/5

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

Adds meaning beyond schema: for dry_run (missing schema description), explains its purpose with generate_files. For mode, clarifies the three enum values' behaviors. For project_root, confirms it's required. Schema covers 67% of params; description fills the gap effectively.

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 purpose: analyzing project stacks to suggest deployment platforms and generating CI/CD/Docker configs. It explicitly lists three modes (analyze, generate_files, dns_guide), distinguishing it from sibling tools like ck_budget mentioned in the usage guidance.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance: 'before deploying a new project or when setting up CI/CD for the first time.' It also gives an alternative tool (ck_budget) for budget checks, and explains the dry_run option for safe preview.

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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