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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds context beyond that: the DSEC source, the fact that it mirrors DICJ's HTML table as clean structured data, and the million-MOP unit. No contradiction with the annotations.

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?

Three sentences, front-loaded with the core definition and scope, followed by provenance and example queries. The trilingual parenthetical is slightly extraneous but aids disambiguation; every sentence otherwise earns its place.

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?

For a zero-parameter tool with no output scema, the description adequately covers what data is returned, its unit, source, and the questions it answers. Minor gaps: the exact return shape and historical depth/freshness are not stated, though strong annotations offset these omissions.

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?

The tool has zero parameters, so the baseline is 4. The description's task is to define what data the agent receives, which it does thoroughly: monthly gross revenue, unit (million MOP), source (DSEC), and multilingual naming for disambiguation.

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: Macau's monthly gross revenue of games of chance, identified as 'the headline casino-gaming-revenue figure', denominated in million MOP, from DSEC. The definition clearly distinguishes it from sibling Macau-domain tools such as macau_tourism, macau_employment, and macau_population, and the example queries make the intended query pattern concrete.

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?

Clear usage context is established through two concrete example questions ('what was Macau's gaming revenue in August 2026', 'Macau casino revenue this month') plus the monthly frequency and headline-scope framing. It does not explicitly name alternatives or state when-not-to-use; given overlapping siblings like macau_indicator and macau_indicators, explicit routing would push this to a 5.

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