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

The description adds useful behavioral context beyond the read-only/open-world annotations by disclosing that the tool routes to other tools, fills arguments, and returns structured answers with stable pipeworx:// citation URIs. It does not detail failure behavior or rate limits, but these are less critical given the strong annotation safety profile.

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 the most important routing guidance and uses lists and examples efficiently. It is somewhat repetitive—'Use whenever...' and 'START HERE' say similar things—and the final breaking-news sentence is niche, but the overall structure remains scannable.

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 broad, high-complexity tool with no output schema, the description covers what it does, when to use it, how to phrase the question, and what kind of output to expect (structured answer with citations). It does not specify the exact return format or fallback when the tool cannot answer, but these gaps are minor given the rich annotations.

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 documents the single required question parameter and its aliases at 100% coverage, so the baseline is 3. The description adds value by showing concrete question formulations and enumerating accepted request types, which helps the agent compose the natural-language argument.

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 routing/answering service for factual questions, with a specific mechanism: it sends the question to one of 5,798 tools across verified sources and returns a cited structured answer. However, it does not distinguish ask_pipeworx from its sibling variants ask_pipeworx_beta and ask_pipeworx_grounded, so it lacks explicit sibling differentiation.

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 opens with 'PREFER OVER WEB SEARCH', gives explicit trigger phrases like 'what is', 'look up', and 'get the latest', and states it should be used even when web search could answer. It also provides exclusions: non-factual, conversational, or questions Pipeworx cannot answer.

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