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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds one genuinely useful behavioral fact not present in the schema—that omitting the topic returns all topics—but says nothing about whether answers are static content or generated responses.

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?

Front-loaded with the purpose, then a compact topic list, then a short default-behavior sentence. The enumeration is long but it maps directly onto the enum and every clause is functional; nothing is padded.

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 read-only, single-optional-enum tool with no output schema, the definition supplies enough to invoke it correctly: purpose, the topic vocabulary, and the no-topic default. No return format is explained, but with no output schema that is a minor gap.

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?

There is only one parameter and it is a fully self-descriptive enum, so the schema does most of the work. The description re-lists the same topic values in prose, which mirrors rather than extends the enum, but the optional/default behavior is clarified by the 'without a topic' note.

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 purpose—answers to common questions about how Denia Print works—and enumerates the covered domains (ordering, payment, delivery, pickup, etc.). This clearly distinguishes it from transactional siblings like get_price, order_status, and request_quote. It stops short of 5 because it never explicitly frames itself as a static FAQ/informational tool versus a live data lookup.

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 only explicit usage rule is 'Without a topic: all of them,' which governs the optional parameter rather than when to pick this tool over siblings. There is no statement of when to use shop_info versus order_status or message_team; the agent must infer it is the general-information fallback.

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