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

The annotations already declare readOnly, idempotent, and non-destructive behavior, and the description adds useful context: ISO 8601 UTC timestamps, update schedule, unavailable datasets, and server usage limits. It does not contradict the annotations, though it reads more as a contents list than a deep behavioral contract.

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 one dense sentence, but it is front-loaded with 'What data Livermore has and how fresh it is' and every listed item adds relevant context. It could be split into shorter sentences for readability, but nothing is wasted.

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 no-argument, read-only metadata call with an output schema, this is complete: it explains what data is covered, freshness details, update schedule, known gaps, and usage limits, and it tells the agent when to call 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?

There are zero parameters and the schema is empty, so the description cannot add parameter-level detail. It appropriately uses its space to describe what the endpoint reports rather than parameter syntax.

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 names the resource ('data coverage and freshness') and uses a specific verb ('get'), then enumerates exactly what is reported: Form 4 ranges, 13F quarters, superinvestor counts, and update schedule. This makes it easy to distinguish from sibling data-query tools like get_insider_trades or get_stock.

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 gives an actionable trigger: 'Call it to check whether a date or quarter is covered.' It does not name sibling alternatives or state when not to use it, but for a metadata/coverage endpoint the intended usage is clear.

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