Create Docker image application

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 only lists required parameters and does not mention side effects (e.g., immediate deployment), prerequisites, error conditions, or idempotency. Moreover, the statement 'environment_name (or environment_uuid)' contradicts the schema's required array, which lists both fields as required, adding confusion rather than transparency.

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 composed of two short sentences, front-loads the core purpose, and contains no redundant filler. It earns its place by stating the action and the essential required inputs.

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?

This is a complex tool with 50 parameters, no output schema, and no annotations. The description does not cover deployment behavior, return values, or any operational context. Given the complexity, the description is far too sparse to guide an agent effectively beyond the most basic invocation.

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?

Schema description coverage is 0%, so the description must compensate. While it lists several required parameter names, it does not explain their semantics, formats, or relationships. The 'or' between environment_name and environment_uuid is misleading because the schema requires both, which actively impairs correct parameter usage.

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 action: 'Create a new application from a prebuilt Docker image.' The verb 'create' and the resource 'application' are specific, and the qualifier 'prebuilt Docker image' distinguishes it from sibling tools like createDockerfileApplication and createDockerComposeApplication.

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 phrase 'from a prebuilt Docker image' implies the use case, distinguishing it from alternatives, but it does not explicitly state when to use this tool versus others, nor does it mention any exclusions or alternatives. Guidance is implied rather than explicit.

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