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

No annotations are provided, so the description carries the burden of behavioral disclosure. It mentions the return type (structured events with specific fields) and optional filters, implying a read-only query tool. However, it does not address pagination, default limits, rate limits, or authorization, which would add valuable transparency.

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 two sentences, front-loaded with the core action, and contains no redundant information. Every phrase 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?

For a tool with six optional parameters and no output schema, the description adequately covers the return shape (structured events with titles, summaries, severity, topics, source URLs) and the main filter dimensions. It doesn't explain default behaviors like limit, but those are documented in the schema, so the description is sufficiently complete.

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 83%, so most parameters already have adequate descriptions. The description only restates the filter options ('date range, source, topics, or severity') without adding new meaning beyond what the schema already provides. 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 clearly states the tool's purpose: querying EU AI Act regulatory updates from primary sources. It specifies the resource (EU AI Act updates) and the verb (query), and distinguishes it from sibling tools like lookup_article or get_obligation_for_role, which focus on different aspects.

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?

It provides a clear use case: 'Use this when you need recent or historical regulatory changes affecting AI builders, GPAI providers, or deployers.' This gives context but does not explicitly name alternatives or when not to use, lacking full when/when-not/alternative guidance.

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