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

Annotations already declare readOnly, idempotent, closed-world, non-destructive, so the safety profile is covered. The description adds the non-obvious behavioral fact that the corpus is sparse (most records lack penalty amounts), which materially changes how an agent should interpret results from other tools. No pagination or response shape detail, but the enumerated metrics largely serve that role.

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 sentences, front-loaded with the returned metrics and closed with the decision rule for calling it. The list of metrics is long but each item earns its place because there is no output schema to carry that information.

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 compensates by enumerating the fields returned, which is exactly what an agent needs to know before calling. The added warning about sparse penalty data completes the picture for a zero-parameter, closed-world read tool.

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 takes zero parameters, so the baseline is 4; there is no parameter semantics to elaborate. The description correctly avoids inventing filter arguments and instead spends its words on what the fixed response contains.

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?

Names a specific resource (coverage statistics for the regmonitoring.com corpus) and enumerates exactly what is reported: indexed update count, date range, regulator/jurisdiction counts, and counts of AI-analyzed, deadline-bearing, penalty-bearing and urgency-rated records. This is clearly distinct from the sibling search/list tools, which retrieve records rather than describe the corpus.

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?

Explicitly states when to call it — 'before making claims about what the corpus does or does not contain' — and explains the downstream consequence for the sibling tool regmonitoring_search_enforcement: an empty result usually reflects absent penalty data rather than no enforcement. That is a concrete when-to-use plus an interpretive exclusion.

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