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

With no annotations provided, the description carries the behavioral disclosure burden. It usefully discloses return semantics: published datasets with as-of dates, universes, and the member ticker list when a `universe` is supplied. It also adds a meaningful negative guarantee that raw dataset files are never returned, which is not inferable from the schema.

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 well-structured with WHEN, NOT for, and Returns sections, and every sentence earns its place. It is front-loaded with the most important usage context and contains no filler.

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?

Given the rich schema and optional parameters, the description provides enough context for an agent to know when to call the tool and what to expect back, especially since there is no output schema. It omits details like pagination behavior, rate limits, or explicit read-only status, but these are secondary for a simple listing tool and partly derivable from the schema.

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 description coverage is 100%, so the schema already documents all 7 parameters well, including the two enums. The description adds only a small amount of context around the `universe` parameter's effect, which largely duplicates the schema's own parameter description.

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 a specific action and resource: listing published datasets and enumerating their equity universes, optionally returning member ticker lists. It is unambiguous about what the tool does, though it does not explicitly differentiate itself from the sibling capability tools by name.

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 positive guidance ('Use when you need what universes / as-of books a skill can run on') and explicit negative guidance ('Do not use to fetch prices or news'). It stops short of naming alternative sibling tools, so it lacks the full when-not-to-use-versus-alternative routing.

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