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

The annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds valuable behavioral context by enumerating the exact return payload structure (framework, deadline, total_controls, controls[], hint, query timestamp), the optional NIST function filtering, and the data source (compliance_controls reference data). No contradictions.

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 four sentences, each serving a purpose: usage context, core function, example, and source. It is front-loaded with the 'when to use' clause, which might delay the primary function, but overall it is compact and free of fluff.

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?

Despite having no output schema and only one optional parameter, the description covers the tool's purpose, usage timing, return payload fields, filtering option, example use case, and data source. This is sufficient for an agent to select and invoke the tool correctly, especially with strong annotations.

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 0% (no property description for nistFunction), so the description must compensate. It explains that the parameter optionally filters by NIST function and provides an example (MAP) demonstrating its usage. However, it does not explain the default behavior when omitted or the meaning of each enum value, though the enum values are visible in the schema.

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 identifies the tool as returning EU AI Act coverage data, specifying the payload fields (framework, deadline, total_controls, controls[], hint, query timestamp) and optional NIST function filter. It distinguishes from sibling regulatory tools by explicitly naming the EU AI Act and its deadline, as well as the NIST function mapping.

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 opening sentence provides explicit when-to-use context ('assessing EU AI Act compliance readiness ahead of the August 2, 2026 enforcement deadline or preparing a board AI governance briefing'). It also gives a concrete example of filtering by MAP, but does not explicitly mention alternatives or when not to use this tool compared to sibling tools.

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