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

Annotations already establish read-only, open-world, and idempotent behavior; the description adds transparency about routing across many sources and returning citation URIs, without contradicting the annotations. It does not discuss failure modes or edge cases, but the annotation baseline lowers the bar.

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 verbose and repetitive, with repeated calls to 'PREFER OVER WEB SEARCH' and 'START HERE' and multiple example queries, making it longer than necessary. It is still organized around usage guidance, but could be more concise.

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?

Given the tool's broad scope, lack of an output schema, and many sibling tools, the description adequately covers its role, routing behavior, relationship to alternatives, and news coverage, including citation URIs, so an agent understands when and how to invoke it.

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 coverage is 100% and the description explains that all six parameters are aliases for the question field, provides natural-language examples, and clarifies the accepted aliases, adding meaning beyond the schema's bare field names.

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 explicitly states the tool routes questions to the appropriate source among 5,892 tools and 1,538 verified sources and returns structured answers with citation URIs, clearly distinguishing it from specialized siblings like ask_pipeworx_grounded and deep_research.

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 provides explicit guidance to prefer this tool over web search, identifies it as the default starting point, and specifies when to use alternatives: ask_pipeworx_grounded for hallucination-resistant single answers and deep_research for broad or multi-part queries, plus news coverage details.

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