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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds meaningful behavioral context by revealing that the tool routes to many sub-tools, fills arguments automatically, and returns stable citation URIs. It doesn't mention rate limits or failure modes, but for a read-only open-world tool this is a minor gap.

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 almost every sentence earns its place: routing behavior, are-as alternatives, trigger phrases, examples, and explicit exclusions. It is front-loaded with the most important instruction. The ending is slightly clunky with the starred-news-feeds packs clause, but the overall structure is effective.

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, but the description compensates by stating that the answer is structured and includes stable pipeworx:// citation URIs. It also covers input types, examples, and alternative tools. It doesn't specify result count/pagination or failure behavior, but for a read-only router tool of this scope the coverage 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 description coverage is 100%: all six parameters are aliases of question and each has a description, so the schema does the heavy lifting. The description reinforces that input is natural-language questions and gives examples, but adds no parameter syntax or format details beyond the schema. 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 names a precise verb and resource: routes a question to one of 5,738 tools across 1,499 verified sources and returns a structured answer with pipeworx:// citation URIs. It also distinguishes itself from web search and from siblings like ask_pipeworx_grounded and deep_research, so an agent can tell exactly what this tool is for.

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?

It says to prefer this over web search for factual/current-data questions, gives explicit trigger phrases like 'what is', 'look up', 'find', 'get the latest', and provides concrete examples. It also names alternatives and when to use them: ask_pipeworx_grounded for a hallucination-resistant single answer, deep_research for broad multi-part questions, with note that breaking news is handled by this tool.

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