container_optimize_image

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

No annotations are provided, so the description carries the full disclosure burden. The verb 'suggest' conveys a non-destructive, advisory behavior, which is meaningful. However, it is silent on whether the tool reads the local Dockerfile, calls an external service (the api_key parameter hints at this), or what form the suggestions take.

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?

A single sentence with the verb front-loaded and two concrete objectives. Every word earns its place; there is no filler. The brevity comes at the cost of missing guidance, but that is a completeness concern rather than a conciseness defect.

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?

For a tool with no annotations, no output schema, and an unexplained optional parameter, the description is thin. An agent can infer the primary required input (file_path) easily, but it cannot determine why api_key exists, whether the tool modifies anything, or what a successful result looks like. The strong sibling overlap further increases the need for context the description does not provide.

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 already documents file_path ('Path to the Dockerfile'), and the description adds no parameter-level detail. The api_key parameter has no description in the schema and is not mentioned in the tool description, leaving its purpose and whether it is truly optional ambiguous. At 50% schema coverage, the description needed to compensate and did not.

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 states a specific verb ('Suggest optimizations'), a clear resource ('Docker image'), and two measurable goals ('reduce Docker image size and build time'). This distinguishes it from security-focused siblings like container_security_report and container_scan_compose, though it does not explicitly disambiguate from cost_optimize_docker or container_audit_dockerfile.

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 goal statement implies when to use the tool — when the user wants smaller images or faster builds — but no alternatives, exclusions, or when-not-to-use guidance are provided. With several container-related siblings (container_audit_dockerfile, cost_optimize_docker, iac_scan_docker), the lack of explicit routing leaves selection partly to inference.

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