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

The annotations already flag read-only, idempotent, non-destructive behavior. The description adds valuable context beyond those: it is priced, limited to 'bounded StackBench evidence,' and returns confidence scores, missing metrics, and caveats. No contradiction with annotations.

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 dense sentence packs cost, scope, evidence source, output characteristics, and caveats with no filler. It is front-loaded and every part earns its place.

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 15 parameters, 3 required inputs, and zero schema descriptions, the description is not enough to invoke correctly. It does not mention required inputs, how parameters map to the prediction, or how the evidence bound (max_evidence) affects results, though output schema covers return shape.

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 carries the full burden for explaining 15 parameters. It broadly suggests that inputs form a 'configuration' and mentions throughput/memory/power outputs, but it does not clarify the meaning or usage of model, hardware_system, prompt_tokens, engine, quantization, or the other fields.

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 specifies a clear action (predict) and resource (configuration throughput, memory, and power) plus the evidence source (bounded StackBench evidence). It does not explicitly contrast with sibling tools, so it misses the top bar for differentiation.

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?

There is no guidance on when to use this tool instead of check_deployment_fit, generate_launch_config, recommend_deployment, or search_evidence. The only contextual clue is the $0.05 cost, which does not help an agent choose among siblings.

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