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

Beyond the annotations, the description reveals meaningful behavior: it routes across 5,743 tools, fills arguments automatically, returns structured answers, and provides stable pipeworx:// citation URIs. It also notes it is the default entry point and works on every tier. This adds substantial context beyond readOnly/openWorld/idempotent hints, with no contradiction.

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 front-loaded with the critical instruction and includes concrete examples and alternative routing. Some of the enumerated source lists are somewhat redundant, but they collectively earn their place by conveying the breadth of the tool.

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 unusually complete: it explains what to expect in the response, when to use it, when not to, what alternatives exist, and gives real examples. An agent has enough context to select and invoke this tool correctly.

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 the schema already documents the question parameter and aliases. The description adds extra semantic guidance by specifying that the input can be any natural-language factual question and supply representative examples and trigger phrases, which helps the agent formulate better queries.

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 specific verb+resource: ask a factual question and route it to the right source. It clearly differentiates from siblings by explicitly contrasting ask_pipeworx_grounded and deep_research, and even says to prefer it over web search.

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?

Gives explicit when-to-use guidance, including trigger phrases like 'what is', 'look up', and 'get the latest'. It also states when to step up to alternatives: 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.