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

With no annotations, the description carries the full burden and does disclose meaningful behavior: data source (SEC EDGAR), coverage ('every filer'), freshness ('same day'), that every row links to its filing, and that it is free under CC BY 4.0. It also describes the reply shape (one-line answer with date). It does not discuss rate limits or read-only semantics explicitly, but the 'get' framing makes this a low-risk read.

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 tool's purpose is front-loaded in the first sentence, and the remaining fragments (source, cadence, licensing) are informative rather than filler. The middle-dot fragments and branding phrases like 'Breach Clock' are terse but slightly stylistic rather than strictly necessary.

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 one-parameter, read-only lookup with no output schema, the description supplies what an agent needs: the subject matter, the sourcing, the freshness, and the shape of the reply. Nothing essential about calling it correctly is missing.

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%, and the single `limit` parameter is already fully documented in the schema, including the total/returned/truncated fields and the `more` link. The description adds no parameter-level meaning beyond that, so the baseline of 3 applies.

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 exactly what data is returned (public companies that disclosed a cybersecurity incident via SEC 8-K Item 1.05), which is a specific resource and clearly distinct from siblings like get_mergers or get_agreements. It frames the purpose as the question it answers rather than as a verb+resource, so it reads slightly indirect, but an agent can tell what it gets without opening the schema.

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 through the question framing — an agent infers it should call this when it wants breach disclosures. There is no explicit when-to-use/when-not-to-use statement and no named alternative among the many sibling lookup tools, so guidance is adequate but thin.

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