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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds behavior annotations cannot express: the single call runs three searches in parallel, returns an AI answer plus pages plus catalog products, is scoped to public siemens.com content only, and requires citing returned URLs rather than inventing links.

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 purpose, then fan-out behavior, then routing, then exclusions, then the citation rule — a deliberate most-to-least-important ordering. Every clause carries routing or behavioral information; there is no restatement of the tool title or filler.

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 five-parameter, open-world search tool with an output schema, the description covers everything an agent needs: what it returns, when to prefer it, where to page next, what to avoid, and how to cite. Return-value details are correctly left to the output schema rather than duplicated.

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 100%, including worked examples for query, region, language, the 60/40 page/product split for maxResults, and enum guidance for response_format, so the description is not required to carry parameter meaning. The top-level text adds no parameter detail beyond what the schema already states, making the baseline 3 appropriate.

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?

Opens with a specific verb-resource-scope statement ("Default tool for any question about Siemens... on siemens.com") and immediately explains that one call fans out into three parallel searches. An agent can distinguish this from siemens_aiSearch, siemens_productSearch, and siemens_assets without reading any schema.

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?

Gives explicit ordering ("Use it first"), names each alternative and the exact condition that selects it (aiSearch/productSearch for paging, get_web_content for full-page reads), and states two exclusions with the correct fallback tools (images/videos/logos → siemens_assets, API/SDK docs → siemens_developer_search). Nothing about routing is left to inference.

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