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

Annotations already declare this read-only, idempotent, and non-destructive; the description adds useful behavioral context by explaining that the tool routes internally, fills arguments, and returns a structured answer with pipeworx:// citation URIs. It doesn't discuss edge cases or failure modes, but the annotation coverage lowers the burden.

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 opening is strong and front-loaded, but the description becomes repetitive: after 'START HERE for most questions,' it repeats the same 'Use whenever...' trigger list and example set almost verbatim. This bloat makes the description harder to scan and means not every sentence earns its place.

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 one-required-parameter tool with no output schema, the description adequately covers what to pass, what the tool does internally, and what comes back (structured answer with citation URIs). It doesn't specify ambiguity or failure handling, but the core selection and invocation information is present.

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 input schema already documents all six parameters with 100% coverage and explains that they are aliases for the free-text question. The description adds value through natural-language trigger phrases and concrete example questions, which help an agent understand what to pass, though it doesn't add new parameter-level detail.

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 factual questions to one of 5,743 tools, fills arguments, and returns structured answers with stable citation URIs. The domain is specific—authoritative current/historical data with citations—and the 'PREFER OVER WEB SEARCH' and 'START HERE' framing differentiates it from a generic search tool.

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 explicitly says to prefer this tool over web search for current or historical data, gives concrete trigger phrases ('what is', 'look up', 'find', 'get the latest', 'how much', 'current'), and provides six realistic examples. It does not name sibling alternatives or state clear exclusion cases, so it stops short of a 5.

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