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 does disclose valuable provenance caveats — FAO methodology, population-based estimates, and non-comparability with BPS figures — but says nothing about return shape, units, period coverage, or rate limits.

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?

Front-loads the resource and its coverage, then the comparability caveat, then the invocation pattern — a logical ordering. The commodity enumeration is long but serves routing/disambiguation, so it largely earns its space.

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 no output schema, the description must stand in for return behavior, and it does signal the two modes (list vs. values) plus data-source caveats. What remains missing — value units, period coverage, pagination — is minor for a single-optional-parameter read 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 description coverage is 100% and the single parameter is fully documented in-schema ('Series id; omit for the list of series'). The description restates the same omit/with semantics rather than adding new meaning such as accepted id formats or examples, so baseline 3 is appropriate.

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?

Names a specific resource (FAOSTAT series for Indonesia) and enumerates the exact domains covered — undernourishment, food insecurity, dietary energy/protein supply, and staple supply. It is clearly distinguishable from sibling price/stat tools in subject matter, though it never names a specific sibling to contrast with.

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?

Gives an explicit two-step invocation workflow: call without series to enumerate, then call with series to fetch values. That is strong procedural guidance. It stops short of naming alternatives (e.g. get_stat_series, get_food_price_series) or saying when this source should be preferred over them.

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