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

Beyond the readOnlyHint, openWorldHint, and idempotentHint annotations, the description discloses important behavior: it routes sub-questions and dispatches tasks on the fly, returns stable citation URIs, and tends to paraphrase rather than quote verbatim. This gives the agent genuinely useful behavioral expectations beyond 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 dense but mostly earns its length. It is front-loaded with the most important guidance, includes examples, and gives clear exclusions. A slight redundancy around handling complex searches could be trimmed, but overall every major section adds useful information.

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 broad routing tool with no output schema, the description is remarkably complete. It covers supported domains, routing behavior, citation format, use cases, exclusions, alternatives, and breaking-news handling. An agent has enough context to select and invoke the tool correctly in almost any factual-query scenario.

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% and all six parameters are aliases for the same question field, so the schema already handles parameter mechanics. The description adds value by clarifying the kinds of natural-language questions the parameter accepts, including complex multi-part questions, comparisons, and trend analysis, plus illustrative examples.

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 that ask_pipeworx routes questions to the correct tool among thousands of verified sources and returns structured answers with citations. It also differentiates from web search, search_within, and deep_research, making the tool's distinct role obvious.

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 with concrete trigger phrases like 'what is', 'look up', and 'find', plus numerous examples. It also specifies when NOT to use it, such as for exact verbatim quotes, and names better alternatives like search_within or web search.

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