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

Annotations already declare readOnly/idempotent/non-destructive/openWorld, yet the description still adds substantial non-obvious behavior: third-party copies are marked as such, unidentifiable products are reported as not found and never guessed, partial results from the time limit are flagged 'not looked up yet' and can be resent, and label links cap at 5. These are exactly the runtime traits an agent cannot infer from structured fields.

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?

Purpose is front-loaded and most sentences carry real information, but the body is a dense run-on of stacked parentheticals about third-party copies, time limits, label caps, and Spanish variants, which hurts scannability. It could be broken into shorter clauses without losing content.

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 carries the return-shape burden itself — and it does: one row per product with found/not-found status, third-party flag, manufacturer, revision date, PDF link, plus the optional label link and Spanish-specific fields. Batch limits and partial-result handling are also covered, leaving nothing critical unstated for a 2-parameter tool.

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 100% and the enum for language is documented, so the baseline is 3. The description goes slightly beyond the schema by explaining what 'es' actually changes downstream (Spanish label links open the Spanish label maker, per-row Spanish SDS link or 'not checked yet'), which helps an agent anticipate the output difference.

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 verb and resource (look up SDS for a LIST of products) and immediately frames the batch scope with a concrete example (product-name column of a spreadsheet). It explicitly ties itself to the singular sibling by saying it uses 'the same rules as find_safety_data_sheet', so an agent can distinguish batch from single lookup without opening either schema.

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?

Closes with a clear usage trigger: 'Use it when someone has several chemicals or an SDS binder/inventory to fill in,' and gives operational guidance on chunking (up to 10 per call, call again for the rest). It implies but never explicitly states the inverse case (one product → use the singular tool), so exclusions are left to inference.

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