plasticity_calculate_rectangular_strength_from_coupon_data

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

Annotations (readOnlyHint=false, destructiveHint=false, openWorldHint=false) indicate a non-destructive write. The description adds genuinely new behavioral context beyond annotations: raw coupon strengths are never mapped to allowables, and no-match or ambiguity returns without saving. That failure-mode persistence behavior is not derivable from the annotations or schema.

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?

Four tight sentences that front-load the verb and the required coupon-data dependency. Dense but each sentence carries distinct semantics; no filler or repetition.

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?

There is no output schema, so the description should ideally convey what a successful calculation produces or persists. It notes the no-save-on-failure case but never describes the successful result format, and the heavily nested input is only partially addressed. Adequate but with a clear gap for a tool of this complexity.

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 0% with five nested top-level parameters, so the description carries a heavier burden. It clarifies semantics for allowables (tensile, and compressive for cantilevers, must be separately evidenced) and constrains the allowablesBasis intent, but leaves process, scenario, and effectiveSection structurally unexplained.

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?

Clearly states a specific verb (calculate) and resource (rectangular axial-tension or cantilever strength derived from coupon data). It is distinguishable from the tongue-root and generic calculate_strength siblings, though the exact 'rectangular' object of analysis is implied via the name rather than spelled out in the description.

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 implies the prerequisite context (an exact printer/material/profile/orientation coupon record and separately evidenced allowables), which is useful usage guidance. However it never explicitly names when to prefer this over siblings like plasticity_calculate_strength or plasticity_calculate_tongue_root_strength_from_coupon_data, so selection still requires inference.

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