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

The annotations already provide readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the description does not need to restate side-effect safety. It adds valuable behavioral context: returns dated items with links, has a current-feed-window scope of about 25 items per type, and is not historical. This aligns with and extends the annotation profile without contradicting it.

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 compact and well structured: definition, example queries, an important distinction, and scope limitation. Every sentence earns its place, and the most important information is front-loaded. No filler or tautological wording is present.

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?

Given two optional parameters, full schema coverage, examples, and annotations, the description is nearly complete for an agent to invoke the tool correctly. It discloses the feed-window scope, the item content, and the type distinctions. Because there is no output schema, a slightly richer statement about exact return fields would be ideal, but the brief 'dated items with links' is acceptable for a simple list 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?

Schema description coverage is 100%, and each parameter already has a clear description, enum, and default (type defaults to litigation; limit defaults to 25). The description adds meaning by explaining what each type represents, but it does not need to repeat parameter-level details because the schema already documents them. Baseline 3 is appropriate.

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 states a specific verb and resource: 'SEC enforcement actions by type,' then enumerates the three types and explains the legal difference between administrative proceedings and federal-court litigation. It also tells the agent what results look like ('dated items with links') and that it does not cover history. It does not explicitly name sibling tools like enforcement_recent or enforcement_search, so it stops short of full sibling differentiation.

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?

The description maps directly to natural-language trigger queries such as 'recent SEC litigation releases' and 'SEC administrative proceedings,' which gives an agent clear when-to-use signals. It also warns that an administrative proceeding is not a federal-court lawsuit and states the feed-window limitation. However, it does not explicitly say which sibling tool to use for historical enforcement actions or otherwise name alternatives.

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