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

With no annotations, the description carries the full burden and does well: it discloses provenance (official HHS regulatory filings), refresh cadence ("updated regularly"), and corpus size (1,638 incidents), which tells the agent results are authoritative but bounded. It omits result ordering, behavior on zero matches, and whether the 1,638 records are the complete universe or a subset.

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?

Front-loaded with what the tool is and returns before the use-case bullets, and each bullet maps to a distinct query pattern rather than restating the same idea. The bullet list is on the long side and the closing sentence about 1,638 incidents partially repeats the source claim, but nothing is truly wasted.

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?

No output schema exists, so the description correctly enumerates the returned fields (organization, individuals impacted, breach type, date reported, severity, recommended actions, exposed data). For a 4-parameter read-only search with a hard 20-result cap, the remaining gap is minor: sorting and no-match behavior are unspecified.

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 the schema already documents limit, state, severity bands, and entity_name including partial-match behavior. The description adds no filtering guidance of its own and never mentions that state/severity/entity_name filters exist, so it neither compensates nor detracts.

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?

States a specific verb ("Search") and resource ("healthcare data breach database"), names the upstream source (HHS OCR breach portal), and enumerates the record fields returned. This is clearly distinguishable from all listed siblings, which cover EMR options, pricing, providers, and state records law.

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?

Six explicit "use this tool when a user..." bullets cover affected-party checks, recent breaches, organization-specific lookups, remediation advice, and largest-breach queries. It lacks any when-not guidance or named alternative, so an agent must infer that EMR/pricing/provider questions belong elsewhere.

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