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

No annotations are provided, so the description carries the behavioral burden. It discloses the scope of returned content (application dates and fine tiers) and indicates a read-only operation via the 'get_' naming convention, but it does not describe the return format, whether data is static or updated, or any access constraints.

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?

A single sentence of nine words that front-loads the core purpose, adds a temporal qualifier ('post Digital-Omnibus'), and states the second content element ('fine tiers'). Every word earns its place with zero filler.

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 zero-parameter reference lookup with no output schema and no annotations, the description is nearly complete: it names the regulation, the temporal scope, and the content delivered. A minor gap is not describing the shape of the returned date/fine data, but this is acceptable for a simple canonical lookup tool whose siblings make its position in the toolset clear.

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?

With zero parameters, the baseline is 4. The description correctly focuses on what the tool returns rather than parameters, and the 100% schema coverage means there is nothing left undocumented 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 a specific resource (EU AI Act application dates) and adds precise scoping ('post Digital-Omnibus') plus content type ('fine tiers'). It differentiates from siblings: search_eu_ai_act is a general search, lookup_article is article-level, while this tool is the canonical source for dates and penalties.

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?

No explicit when-to-use or when-not-to-use guidance is given. However, the word 'Canonical' implies the agent should prefer this over search_eu_ai_act for authoritative deadline information, providing only implicit routing rather than explicit exclusions or alternatives.

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