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

Beyond the readOnly/openWorld/idempotent annotations, the description adds valuable behavioral context: it routes across 5,724 tools, fills arguments automatically, returns stable citation URIs, works on every tier, and is a fast single call. It also clarifies that it handles live news routing, giving a fuller picture of what happens when invoked.

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 long but well-structured and information-dense, front-loading the most important instruction and using examples effectively. There is minor redundancy in emphasizing preference over web search twice, but every major sentence adds routing or usage value.

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 complex routing tool with no output schema, the description is complete: it covers what the tool does, what it returns, when to prefer it, when to escalate, what kinds of questions it handles, and concrete examples. Nothing an agent needs to invoke it correctly 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 documents all parameters with 100% coverage, including the question field and its aliases. The description does not add much parameter-level meaning beyond saying the question is natural language and showing examples, so baseline 3 is appropriate.

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 a specific function: routing factual questions to the appropriate tool among thousands of verified sources and returning a structured answer with citation URIs. It explicitly distinguishes itself from sibling tools like ask_pipeworx_grounded and deep_research, so an agent can tell them apart without inspecting each schema.

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, including trigger phrases, example questions, and a direct preference over web search. It also names alternatives and the exact conditions for stepping up to ask_pipeworx_grounded or deep_research, which is model usage guidance.

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