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

The description goes well beyond the annotations by disclosing auth requirements, latency expectations, parallel execution, the gaps[] guarantee that findings are never invented, citation URI resolvability, contradictions[] behavior, and semantic excerpting. These are meaningful behavioral details that annotations like readOnlyHint and idempotentHint do not convey.

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 generally front-loaded: account requirements and the ask_pipeworx alternative appear first, then core behavior, depth nuances, and performance expectations. It is longer than strictly necessary because some depth and citation details overlap with the schema or are restated, but each sentence still adds meaningful context.

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?

Even without an output schema, the description documents the return packet's key fields, citation behavior, gaps[], contradictions[], latency, authentication, and boundary with ask_pipeworx. For a complex parallel-research tool, this is enough for an agent to know what the tool does, what to expect, and when to choose it.

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 of both parameters is 100%, so the baseline is 3. The description adds value by explaining how depth levels behave in terms of hops, gap recovery, contradiction scanning, and the paid tier, and by clarifying that the question is meant to be broad or multi-part. Some depth details repeat the schema enum descriptions, preventing a 5.

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 states a specific verb and resource: grounded multi-source research across Pipeworx's 1517 structured data sources in one call, with decomposition and parallel routing. It also directly distinguishes itself from open-web search and names the single-lookup sibling ask_pipeworx, so an agent can tell them apart.

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: broad/multi-part questions over structured data are the sweet spot, single lookups should use ask_pipeworx, and unsigned-in users should use ask_pipeworx. It also discloses the paid-plan requirement for the thorough depth, which is a concrete usage constraint.

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