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

Beyond the readOnly/openWorld/idempotent annotations, the description discloses that the tool routes among 5,743 tools, fills arguments, and returns structured answers with stable pipeworx:// citation URIs. It also states it works on every tier and is one fast call, giving agents useful behavioral expectations.

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?

Although lengthy, every sentence serves a purpose: usage priority, scope, examples, alternative routing, and news handling. The most important guidance ('PREFER OVER WEB SEARCH' and 'START HERE') is front-loaded, and the examples are dense but not 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?

For a single-required-parameter tool with no output schema, the description is remarkably complete. It explains what the tool does, when to use it, what it returns (structured answer with citations), how it behaves relative to siblings, and even addresses breaking-news cases.

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 the 'question' parameter and aliases with 100% coverage, so the baseline is 3. The description adds meaningful semantics by enumerating supported question types, providing six concrete examples, and listing trigger phrases that clarify the expected natural-language input.

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 ask_pipeworx as the default question-answering entry point that routes queries to the right tool among thousands of sources and returns structured answers with citations. Specific examples and explicit differentiation from ask_pipeworx_grounded and deep_research make its purpose 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 explicitly says to prefer this over web search for factual/current-data questions, gives trigger phrase examples, and tells the agent when to step up to ask_pipeworx_grounded or deep_research instead. It even covers news/breaking-news scenarios, leaving little ambiguity about when to select this tool.

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