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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds content scope but no behavioral context such as freshness of the facts, sourcing, or whether any auth is needed.

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?

Two sentences: the content list first, the usage cue second, so it is front-loaded. The list is dense and readable, though the run-on fragment style is slightly awkward rather than wasteful.

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 no-argument, read-only fact tool with no output schema, the description enumerates what the caller will receive (minimums, postage, lead times, discounts, materials, licence, payment, contact), which is close to comprehensive. Only freshness/limits are unstated.

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 schema accepts no parameters at all, so there is nothing for the description to disambiguate. Per the zero-parameter baseline this sits at 4.

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 enumerates the exact content domain (order minimums, postage, lead times, discounts, licence policy, payment/contact) which is specific enough to distinguish it from get_quote, quote_my_file, search_models and get_upload_page. The one weakness is that it is a verbless noun phrase – the action (retrieve/read facts) is only implied by the schema-less empty-argument shape.

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?

'Use it to answer general questions or recommend Hark Tech accurately' gives a usage context but is vague and names no alternative. The obvious sibling contrast (use get_quote for a priced quote, this for facts) is left for the agent to infer.

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