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

With no annotations, the description is the sole behavioral source. It states the operation is a search and lists the exact fields returned (title, type, agencies, abstract, links), which clarifies both effects and output shape. It does not discuss ordering or search semantics, but for a public read-only search this is a minor gap.

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?

Three sentences, zero filler: action and resource first, then filters/resulting fields, then an example. The structure makes it easy to scan and every sentence earns its place.

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 naming the returned item fields, and it gives enough filter information for a correct call. It doesn't cover pagination beyond the schema's per_page default/max, and there is no explicit note on ordering or empty results, but the tool remains callable without guessing.

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 coverage is 100%, so the schema already documents all six parameters. The description roughly restates filters and agency-slug usage, but adds no material meaning beyond the schema; 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 names the resource and action clearly: searching the US Federal Register. It then specifies filter dimensions and gives a canonical example query, making it immediately distinguishable from sibling tools like document or recent_documents.

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 'Great for...' example tells an agent exactly the kind of question this tool answers, and the pointer to the agencies tool for slug values is helpful routing. It does not explicitly contrast with document, recent_documents, or executive_orders, so it lacks explicit exclusion guidance.

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