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

With no annotations, the description carries the full burden, and it does disclose a meaningful behavioral trait: answers are grounded only in 'official, published Golden Flame information' and each comes with a source link. That tells the agent to expect cited, non-speculative answers. It omits fallback behavior when no official answer exists and any latency/rate considerations.

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 English text is front-loaded and reasonably tight, but the entire content is then duplicated in German with no new information, roughly doubling the length. Serving a Cologne audience may justify bilingualism, but as written the second sentence earns its place only as a translation, not as added specification.

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 single-parameter, no-annotation, no-output-schema Q&A tool, the description adequately conveys scope and the cited-answer contract, so an agent can call it correctly. It stops short of defining scope boundaries (the 'going out in Köln' clause is open-ended) and does not describe response shape or behavior on unanswerable questions.

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% for the single 'question' parameter, so the description must compensate. It does so by enumerating the kinds of questions accepted, which effectively documents the parameter's expected content. It adds no format, length, or language guidance beyond the schema's maxLength, so this is minimum-viable compensation.

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 opens with a specific verb and scope: 'Ask any question about Golden Flame events in Cologne,' then enumerates concrete covered topics (dates, tickets, box office, age limit, dress code, travel). It is clearly distinguishable in spirit from the lookup-oriented siblings (get_event, get_tickets, list_events), but it never names or contrasts with them, so sibling differentiation is only implicit.

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 rather than stated: the free-form question framing suggests this is the tool for open-ended Q&A rather than structured retrieval, and the topical list hints at scope. There is no explicit when-to-use vs. get_event/get_tickets/list_events/search, no exclusions, and no guidance on what to do with out-of-scope questions.

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