pull_engine_image

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

No annotations are provided, so the description carries full burden. It discloses that the tool runs docker pull, which is a network operation that may be slow and requires Docker installed. However, it does not mention potential failures (e.g., network issues, authentication), side effects (modifying local Docker images), or prerequisites.

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?

Two sentences with no wasted words. The first sentence clearly states the action, and the second provides usage context. Excellent front-loading and conciseness.

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 simple tool with one optional parameter and no output schema, the description is adequate but lacks context about prerequisites (e.g., Docker installation), return value or outcome after pull, and error handling. Given the sibling tool check_engine_image, more detail on postconditions would help.

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 coverage is 100% for the single parameter. The description adds meaning by stating the default value and noting the image is the runtime image, but the schema already has a description. Baseline 3 is appropriate.

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 action ('run docker pull') and the specific resource ('pineforge-release runtime image'). It also mentions the context (on user's machine) and hints at sibling differentiation by noting usefulness before backtest_pine, though it does not explicitly distinguish from check_engine_image.

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 implied usage: 'Useful before the first backtest_pine call.' However, it does not specify when not to use this tool (e.g., if image already exists) or mention alternatives like check_engine_image. No explicit exclusions or comparative guidance.

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