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

Annotations already cover read-only, non-destructive, idempotent behavior. The description adds useful operational context by noting it is a single fast call, works on every tier, and returns structured answers with stable citation URIs. It does not discuss rate limits or auth, but the annotation coverage lowers the bar.

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-loads the core purpose and usage guidance before moving to alternatives. The repeated emphasis on preferring over web search and the example-rich domain list add useful context, though a few phrases are somewhat redundant.

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 absence of an output schema, the description adequately compensates by stating that the result is a structured answer with stable citation URIs. It also covers tier availability, alternative tools, and example areas of applicability. It could be more specific about response shape or failure modes, but the provided context is strong.

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?

Schema coverage is 100% with all six parameters documented as aliases for the natural-language question. The description adds the explicit alias list and confirms the value is free-form natural language, supported by inline examples in the schema. This is adequate, though it does not deeply elaborate on question formatting.

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 the default general-purpose factual question-routing entry point, explicitly stating it routes questions to relevant sources and returns structured answers. It also distinguishes itself from siblings like ask_pipeworx_grounded and deep_research, so an agent can select it unambiguously.

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 usage direction: prefer this over web search, start here for most questions, and escalate to ask_pipeworx_grounded or deep_research only under specific conditions. It also names concrete example queries, making when-to-use guidance highly actionable.

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