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

With readOnlyHint, openWorldHint, idempotentHint, and destructiveHint already present, the bar is lower, and the description adds meaningful behavioral context: it routes to a large set of external tools, fills arguments automatically, and returns answers with stable citation URIs. It does not disclose potential latency, rate limits, or failure behavior, but the core routing-and-citation behavior is transparent.

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 guidance ('PREFER OVER WEB SEARCH') and includes useful examples, but it is somewhat repetitive: the phrase 'even if web search could also answer it' appears twice, and the closing 'Examples included' reads as meta-noise. Overall it is informative but could be tightened without losing content.

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 complexity as a router over thousands of sources and the absence of an output schema, the description covers the key operational facts: what kinds of questions to send, what happens internally, and what the response will include (structured answer with citation URIs). It could add details about ambiguity handling or error cases, but the current description is adequate for selecting and invoking the tool correctly.

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 input schema has 100% coverage for all six parameters, all aliases for the same natural-language question field, so the description is not required to document parameters. The examples in the description do illustrate the expected style of input, such as 'Apple's latest 10-K' and 'current price of bitcoin'. It adds some illustrative value but no new parameter-level semantics beyond the schema.

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 tool's function: it routes a natural-language question to the right tool among 5,798 verified tools and returns a structured answer with pipeworx:// citation URIs. This is a specific verb+resource statement that goes well beyond the title. However, it does not explicitly differentiate itself from sibling variants such as ask_pipeworx_beta or ask_pipeworx_grounded, so it misses the full sibling-distinction bar.

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 explicit when-to-use guidance: prefer over web search, use whenever the user asks 'what is', 'look up', 'get the latest', or any factual question about real-world data, with concrete example queries. It also addresses the main alternative, web search, by saying the tool should be preferred even when web search could answer. It does not, however, provide exclusions or guidance about choosing among the ask_pipeworx sibling variants.

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