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

Annotations already cover readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, so the bar is lower. The description adds useful behavioral context by stating that the tool routes questions, fills arguments, returns citations, works on every tier, and can reach live news feeds. It does not contradict the annotations.

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 it is front-loaded with the most important guidance ('PREFER OVER WEB SEARCH', 'START HERE') and uses the remaining space for concrete examples and alternative tool routing. Every sentence serves a practical purpose for the agent.

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?

There is no output schema, so the description carries the burden of explaining returns; it does so by mentioning structured answers with stable citation URIs. It also provides examples, clarifies scope, and names sibling tools for escalation, making the context sufficiently complete for an agent to decide to call the tool.

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%, so the baseline is 3. The description adds meaning by explaining that all six parameters are aliases for the same natural-language question and explicitly lists accepted alias forms, while the question property description clarifies natural-language usage.

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 answers factual questions by routing them to 5,908 tools across 1,540 verified sources and returning structured answers with stable pipeworx:// citation URIs. It also explicitly distinguishes itself from siblings like ask_pipeworx_grounded and deep_research, making its role unambiguous.

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: use for 'what is', 'look up', 'find', 'get the latest', 'how much', 'current', or any factual question, and states it is the default entry point. It also names specific alternatives and the conditions to step up to them, such as ask_pipeworx_grounded for hallucination-resistant single answers and deep_research for broad multi-part questions.

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