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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds useful behavioral context: it mentions live partner events and knowledge from the database, and explains that the topic parameter filters results. This goes beyond the annotations without contradicting them.

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 well-structured and appropriately sized. It front-loads the core purpose, then provides usage context, data source info, and parameter details in a clear, scannable format. Every sentence 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?

The description is complete for a read-only information tool with a single optional parameter. It covers what the tool does, what data it includes, and how to use the parameter. The output schema exists, so return values don't need to be described. Minor gap: it doesn't mention whether the topic filter is case-sensitive or how it matches keywords, but this is not critical.

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 the description must compensate. It does: it explains the topic parameter's purpose, lists valid values ('winter', 'summer', 'wellness', 'golf', 'family', 'hiking', 'biking', 'workation', or any keyword), and clarifies that leaving it empty returns a general overview. This is meaningful guidance beyond the bare schema.

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 clearly states the tool's purpose: getting information about Bad Kleinkirchheim and the surrounding region in Carinthia, Austria. It lists specific content areas (activities, attractions, weather, dining, transport) and provides example user queries, making it easy for an agent to understand what this tool does and when it applies.

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?

The description provides clear usage context with example guest questions ('What can we do there?' or 'What's the area like?') and explains the optional topic filter. It doesn't explicitly exclude alternatives or name sibling tools, but the context is sufficient for an agent to select this tool for region-related queries.

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