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

With no annotations provided, the description carries the behavioral burden. It does disclose that figures are live and that every figure has a source URL, which is useful, but it does not disclose freshness, caching behavior, response format, or whether any call has side effects.

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 a single, front-loaded sentence that moves from the core purpose to a compact list of included metrics. Every phrase adds information, and there is no filler or repetition of the schema.

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-parameter status tool, the description gives enough content detail and even promises source URLs for every figure, making invocation straightforward. It does not explain each metric's semantics, but that is secondary for a read-only status summary.

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?

The tool has zero parameters, so the schema fully covers the input contract. The description appropriately adds no parameter-specific detail because none 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 clearly identifies the tool as a source of live aggregate totals for the TACET log and enumerates specific metrics, so an agent can tell it is an overview/dashboard. However, it does not explicitly contrast itself with close siblings like silence_report, which also covers reporting-related content.

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 implied rather than explicit: an agent can infer this is for current high-level totals, but the description gives no when-to-use or when-not-to-use guidance. Since the tool mentions the latest weekly Silence Report and a sibling named silence_report exists, the lack of routing guidance is a real gap.

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