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

With no annotations, the description carries the full disclosure burden. It does add real value by distinguishing 'verified' resets from 'sighting' signals and naming the data source (public monitoring signals maintained by Agenai), which tells the agent about provenance and reliability tiers. It omits freshness/latency and what is returned when no reset has been recorded, so the behavioral picture is incomplete.

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?

Two tight sentences, front-loaded with the primary payload and followed by provenance. Terms like 'banked-reset sighting' are domain jargon left unexplained, which slightly reduces immediate clarity.

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 zero-parameter read tool with no output schema, the description does the necessary work by enumerating what comes back (latest verified reset, latest sighting, totals, coverage) and where the data originates. It does not describe the shape of the response or edge cases such as an absent latest reset, which is the remaining gap.

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, so the baseline is 4; the schema has nothing for the description to explain. The description correctly signals that no filtering or date input is needed.

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 names a specific resource and scope: the single most recent verified Codex global reset plus the latest banked-reset sighting, along with totals and coverage. An agent can tell it returns the newest record rather than a listing, which implicitly separates it from list_reset_events, but it never names the siblings so the differentiation is inferential.

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?

Usage is only implied by 'most recent' — an agent must reason that this is for a current snapshot versus get_reset_stats (aggregates) or list_reset_events (history). There is no explicit when-to-use, when-not-to-use, or alternative routing statement.

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