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

Annotations already communicate read-only, idempotent, open-world, non-destructive behavior; the description adds that it routes to live news and related packs and returns citations. It does not discuss failure cases or data availability, but no contradiction exists and the main behavioral contract is clear.

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 far longer than necessary, repeating the routing behavior and including extensive promotional guidance and many examples. Although it is organized into paragraphs, several sentences restate the same core message, so it is not 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 broad, open-ended nature of the tool and absence of an output schema, the description supplies enough context: what it returns, when to use it, when to escalate to alternatives, and acceptable input aliases. It also positions the tool relative to a large sibling set.

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 lists six parameters, and the description explicitly states that query, q, prompt, text, and input are all aliases for the natural-language question parameter. This fully resolves ambiguity around the duplicate parameter names and clarifies the expected input format.

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?

Clearly states it routes natural-language questions to authoritative data sources and returns structured answers with citations. The purpose is specific and distinct from siblings such as 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?

Explicitly instructs to prefer over web search for factual/current-data queries, declares it the default entry point, and gives specific step-up conditions for grounded and deep_research alternatives. Includes representative examples to disambiguate appropriate use.

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