singapore_inspect_statistics

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered and the description correctly does not contradict it. The description adds some value by enumerating the metadata categories returned and by flagging the read-metadata-first workflow, but it says nothing about pagination behavior or limits on the series listing.

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?

A single dense sentence with no filler, and the core intent plus the content list is front-loaded. The trailing 'before reading observations' clause is slightly buried but still earns its place as workflow guidance.

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?

An output schema exists and annotations are rich, so return-value and safety explanations are rightly omitted. However, for a four-parameter tool with zero schema coverage, the description leaves include_raw and the series pagination contract unaddressed, which is a meaningful gap for correct invocation.

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 all four parameters must be explained by the description, and it largely is not. 'Table metadata' and 'series' loosely map to resource_id and the series listing, but include_raw and the limit/offset semantics of series_limit/series_offset (defaults, max 100, pagination behavior) are left entirely 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?

The description gives a specific verb ('Get') and a well-scoped resource ('SingStat table metadata'), then enumerates exactly what comes back: frequency, units, definitions, notes, series, and coverage. It also implicitly separates itself from the observation-reading siblings via 'before reading observations', though it never names the counterpart tool (e.g., singapore_get_statistics).

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?

'...before reading observations' supplies a clear ordering rule: call this first to understand a table, then go fetch data. That is real usage context, but there are no explicit exclusions or named alternatives, and the reader must infer that singapore_get_statistics is the follow-up tool.

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