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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds genuinely useful operating constraints — free, license cleared, mandatory attribution with named source agencies — but says nothing about result ordering, whether unreleased events appear, or how missing actual/prior values are represented. The large licensing block is required boilerplate rather than behavioral disclosure.

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 usage trigger is front-loaded correctly, but roughly half the text is attribution/licensing boilerplate that, while legally required, crowds out operational detail. Every sentence is defensible, yet the useful signal-to-total ratio is mediocre.

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 five optional parameters at full schema coverage and no output schema, the description covers purpose, coverage universe, and attribution obligations adequately. Return shape is described only loosely ('actual and prior values'), which matters less here because there is no output schema to lean on, but an agent still lacks ordering and pagination expectations.

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%, so the baseline is 3, but the description earns a bump by mapping plain-language event names ('payrolls', 'claims', 'ISM dates') onto the schema's coded enum values such as employment_situation and jobless_claims. Date defaults and the limit range are left entirely to the schema.

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/resource pair ('official US release times') and enumerates the covered event families (CPI, PPI, payrolls, GDP, PCE, FOMC, ISM), so an agent knows exactly what content comes back. It doesn't explicitly contrast itself with siblings like get_release_status or get_macro_regime, leaving some ambiguity about which one to pick.

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?

'Use this when you need official US release times ... with actual and prior values once released' gives a clear usage context, including the distinction between scheduled dates and released values. There are no explicit exclusions or named alternatives, so the routing decision against siblings is still partly inferred.

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