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

Beyond the readOnlyHint, openWorldHint, and idempotentHint annotations, the description discloses that the tool returns only titles and links rather than article bodies, that the content is informational and educational, and that it does not provide investment advice or price forecasts. This is useful behavioral context and does not contradict the annotations.

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 front-loaded with content types and topics, followed by return behavior and the legal disclaimer. It is slightly longer than necessary, but the disclaimer is important for a tool touching investment-related information, so the length is justified.

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 covers what the tool searches, what it returns, and its limitations, which is adequate for a simple search tool. However, with no output schema and only 33% schema coverage, the missing explanation of typ and limit leaves the calling contract partially underspecified and relies on enum names and the query parameter description alone.

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 only 33%, with only the query parameter described, and the description does not explain the typ enum or the limit parameter. The listed topics loosely map to some typ values but the mapping is implicit, so an agent gets insufficient guidance for constructing well-formed calls beyond a free-text query.

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 identifies the tool as a knowledge-base search over guides, FAQ entries, glossary terms, and IDFMETALE articles about investment metals, and states that it returns titles and page addresses. It is distinguishable from product/price siblings by its focus on educational content, though it never names a specific sibling or states 'search for knowledge articles' explicitly.

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?

It gives concrete topics such as taxes/VAT, storage, buyback, mints/LBMA accreditation, branches, and how to buy, which signal when to use the tool. It does not explicitly say when not to use it or name alternatives such as search_products, but the knowledge-base framing makes the intended context clear.

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