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

Beyond the readOnlyHint/openWorldHint/idempotentHint annotations, the description discloses that this tool acts as a router, fills arguments automatically, and returns structured answers with stable pipeworx:// citation URIs. It does not discuss failure cases or latency, but the annotations already cover the safety profile and the description adds meaningful behavioral context.

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 longer than average but front-loaded with the key instruction to prefer this over web search. The domain list, examples, and sibling comparisons all earn their place, though a few phrases are redundant with earlier statements and the text becomes somewhat sprawling.

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 this is a single-question-parameter tool with no output schema, the description covers what is needed: when to use it, what it does internally, what it returns, and which siblings to choose instead. The examples further disambiguate the accepted input. No critical calling context is missing.

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 already provides 100% coverage for all six parameters, all aliases of 'question'. The description adds value by giving concrete example queries and clarifying that natural-language factual questions are accepted, which helps an agent formulate the parameter correctly. This goes slightly beyond the schema baseline.

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 states a specific action: routes a natural-language question to one of 5,798 tools across verified sources, fills arguments, and returns a structured answer with citation URIs. It clearly distinguishes this from web search and from sibling tools 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?

Gives explicit when-to-use guidance: prefer over web search for factual data about SEC filings, FDA data, economic stats, weather, news, stocks, etc., and for queries starting with 'what is', 'look up', 'find', 'get the latest'. It also names alternatives and their conditions, such as ask_pipeworx_beta for fast one-shot answers, ask_pipeworx_grounded for fully grounded answers, and deep_research for broad multi-part questions.

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