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

Beyond the readOnlyHint/openWorldHint annotations, the description discloses ordering (newest first), data freshness (refreshed nightly from Texas state datasets), and provenance (each event names its source record). That is meaningful context the annotations do not carry, though it omits anything about empty results or truncation behavior.

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?

It is front-loaded with the guiding question and the event list, then adds scope and freshness in tight sentences. The enumerated event types and the example make it slightly long, but each clause carries information an agent needs.

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?

With no output schema, the description correctly describes the return shape (dated events, newest first, source-record attribution) and notes the Texas-only, nightly-refreshed dataset. It is nearly complete, missing only notes on empty results or how limit/since interact with the return.

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 all four parameters are already documented in the schema; the baseline is 3. The example invocation shows a realistic entity_id plus include_affiliates, but adds no format or edge-case meaning beyond what the schema already states.

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 opening line states the exact verb and resource (dated events about a business) and enumerates the event kinds returned (formed, opened/closed, licensed, surrendered, transferred, applied). This clearly separates it from siblings like get_entity, get_licenses, and get_locations, which cover current state rather than history.

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 gives clear context for use (asking what happened to a business and when), states the scope constraint (Texas only, Comptroller/TABC-registered businesses), and implies the prerequisite by noting entity_id comes from resolve_business. It stops short of naming an explicit alternative or a when-not-to-use condition.

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