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

No annotations are provided, so the description carries the full behavioral burden. It helpfully discloses the return contents (VRAM, speedup, quality delta) despite no output schema, but says nothing about side effects, determinism, or whether it is a pure read-only computation. Adequate but leaves gaps for a no-annotation tool.

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 tight sentences with zero waste, and the invocation condition is front-loaded before the output description. Every clause 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 stateless calculator with only one required parameter and full schema coverage, the description is nearly complete: it explains when to call it and what it returns in lieu of an output schema. It could still mention that unspecified precisions default to bf16/int4, but the schema covers that.

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 100%, with all five parameters documented including defaults and enum values, so the schema does the heavy lifting. The description only references 'parameter count and precision transition,' adding no format or unit detail beyond what the schema already states.

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?

States a specific action (calculate quantization impact) with named outputs: VRAM requirement, speedup estimate, and quality delta. The resource and scope are clear, but the description never explicitly contrasts itself with the many cost-calculator siblings, so differentiation relies on the tool name alone.

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?

Provides a concrete trigger: 'Use when a user is planning to quantize an LLM to fit on smaller hardware.' This is clear context for invocation, but it names no alternatives or exclusions among the 11 sibling calculators, so an agent has no routing guidance if the request straddles quantization and cost analysis.

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