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

Annotations already cover the read-only, idempotent, non-destructive safety profile, and the description adds useful behavioral detail about Table 1/2 numeric levels versus Table 3 GMP-only provisions. However, it says 'every food category' while the schema caps results at 200 by default, and it does not disclose how the limit affects completeness or whether pagination is possible.

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 is three focused sentences with no filler. The primary action and output are stated first, the important table distinction is second, and the practical use case is third.

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?

With a rich input schema and safety-carrying annotations, the description covers the key return content: food category, maximum level, and table-type distinction. The main gap is that the 'every food category' claim is not reconciled with the `limit` parameter, and there is no mention of behavior when an additive has no provisions.

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%, giving the baseline of 3. The description adds meaning on top by explaining why `table` matters: Table 1/2 provisions carry numeric maximums while Table 3 provisions do not. It adds no new information about `limit`, but the schema already documents that.

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 states precisely what the tool does: list every food category where a given additive is permitted in the Codex GSFA, and include the maximum use level for each. It also distinguishes this additive-centric, full-scope behavior from sibling tools like gsfa_food_category_additives and gsfa_search_additive.

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?

It gives an explicit usage directive: 'Use to see the full permitted scope of one additive across all foods.' It does not name sibling tools or state when not to use them, but the scope phrasing makes the intended use case clear.

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