get_print_confidence

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the Kiln Pro gating requirement and outlines what the call returns (settings, likelihood, risks), and 'would read this printer's recorded outcomes' implies a read-only operation. It does not state latency, cost, or data-sufficiency requirements, so it is partial but not misleading.

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 capability is front-loaded in a single clear sentence, but a full sentence is spent marketing 'Kiln Pro would...' and another is a raw upgrade URL. This is not egregious, but the promotional framing dilutes the definition's density.

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 4-parameter prediction tool with no output schema and no annotations, the description sketches the return payload but leaves the two required parameters and the pipeline_result_json semantics unexplained. An agent could call it, but not confidently with the right inputs.

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 50%: only fleet_mode and pipeline_result_json have descriptions, and even those are terse defaults. The description does not explain required parameters printer_id or material, nor what pipeline_result_json should contain, so it fails to compensate for the gap.

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?

First sentence gives a specific verb and resource: predicts print success likelihood from recorded print history. The second sentence names the concrete outputs (tuned settings, success-likelihood read, risks). It does not distinguish itself from close siblings like predict_print_settings or predict_print_failure, so it stops short of a 5.

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 states a Kiln Pro prerequisite but gives no guidance on when to choose this over predict_print_settings, get_optimal_settings, or get_print_learning_summary. The agent must infer the selection criteria from the name alone.

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