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

Annotations already establish that this is a read-only, closed-world operation, so the description does not need to restate safety. It adds useful context that the result is today's snapshot and includes both grade counts and largest-city results, but does not explain freshness guarantees, aggregation thresholds, or what a 'grade' means.

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 definition is a single front-loaded sentence with no redundant wording. It efficiently conveys scope, timeframe, and the two result dimensions.

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 summary tool with no output schema, the description gives enough shape to know that the response contains per-grade city counts and largest-city results. It could be stronger by clarifying the grade categories or what counts as a 'largest city', but the core return content is present.

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. There is no parameter meaning for the description to add, and it correctly focuses on the output scope instead.

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 a specific aggregate resource: tire-change urgency across Hungary's 274 cities, with counts per grade and results for the largest cities. It is clear enough to distinguish a national summary from a per-settlement lookup, though it does not explicitly name the sibling tools it differs from.

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?

Usage is implied by the national aggregate framing: an agent can infer this is for an overview rather than a single-city lookup. There is no explicit when-to-use, when-not-to-use, or alternative-tool guidance against siblings such as gumicsere_surgosseg or telepules_kereses.

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