explain_topic_with_docs

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

No annotations are provided, so the description must carry the transparency burden. It mentions that it uses web search and a Vertex AI model, which gives some insight into behavior, but it does not disclose potential limitations, latency, or that it performs no side effects. The description is neither misleading nor overly opaque, but it leaves some behavioral details unstated.

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 concise, consisting of two focused sentences. It front-loads the core purpose and then adds context about the source and model. There is no redundant or vague wording, making it easy for an agent to parse quickly.

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?

While there is no output schema, the description implies the return value ('detailed explanation'), which gives enough context for the agent to know what to expect. It does not detail output format or any additional response fields, but for an explanation tool the implicit textual output is adequate.

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 fully covers both parameters (topic and query) with clear descriptions, so the coverage is 100%. The description adds no extra nuance beyond the schema, but the parameter meanings are already self-evident. The baseline of 3 is appropriate because no additional semantic information is provided.

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 states the function: providing a detailed explanation for a query about a specific software topic, with the scope of synthesizing information from official documentation. It distinguishes itself from sibling tools by emphasizing 'official documentation found via web search' and 'detailed explanation,' making the tool's purpose unambiguous.

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 description gives implicit usage guidance by specifying that it focuses on comprehensive, doc-based answers and requires both a topic and a query. It does not explicitly contrast with every sibling tool, but the 'official documentation' and 'detailed explanation' keywords signal when this tool is more appropriate than a general web search or snippet retrieval.

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