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

With no annotations provided, the description carries the full burden and meets it admirably. It enumerates every verification performed (response shape, one exact material ID, non-deprecated successful state, modulus bounds, Poisson consistency, source versions, record license), discloses the deterministic VRH Young's modulus derivation and warning preservation, and explicitly states what it does NOT do (no network call, no origin verification, no authority grants). This is the strongest dimension of the definition.

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 description packs a great deal of information into a single dense, comma-heavy paragraph. It is appropriately front-loaded with purpose, but the jargon density ('source-bound computed-crystal reference evidence', 'allowlisted projection changed the representation') makes it read as a wall of text rather than a scannable definition. Splitting the behavioral disclosures into structured sentences would improve legibility.

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?

The tool is genuinely complex (4 required parameters, deep nesting, output schema present), and the description covers the adapter's behavioral contract thoroughly, including what it derives and what authorities it does not grant. However, the density and undefined terms ('source-bound', 'allowlisted', 'computed-crystal reference evidence') leave an agent needing interpretation; the presence of an output schema reduces the burden of explaining return values, but parameter semantics remain under-explained.

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 must compensate, but it only meaningfully documents one of the four required parameters. The phrase about 'optional retrieval metadata binds the raw upstream bytes' covers `retrieval`, but `response`, `material_id`, and `refresh_after` receive no explanation (e.g., what refresh_after means, how the response must be shaped before translation). For a 4-parameter tool with nested objects and zero schema coverage, this is a significant 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?

The description names a specific verb ('translate') and resource ('Materials Project elasticity API response projection into source-bound computed-crystal reference evidence'), which is precise and clearly distinguishes this adapter from the supply/simulation/domain siblings. However, the heavy jargon ('source-bound computed-crystal reference evidence', 'allowlisted projection') makes the core purpose harder to parse than necessary for an agent on first read.

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 lists useful exclusions—'performs no network call', 'does not verify Materials Project origin', and 'grants no...authority'—which help an agent decide when NOT to rely on this tool. But it never names sibling tools like validate_material_property_evidence or validate_domain_solutioning_result, nor states a positive condition for when this tool should be chosen over them. The when-to-use guidance is implicit rather than explicit.

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