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

Annotations provide a strong safety profile (readOnlyHint: true, destructiveHint: false). The description does not contradict these but primarily adds content scope (GDPR, sub-processor register) rather than technical behavioral traits beyond the baseline security signals.

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 single sentence is highly dense and maximally efficient, providing all necessary context regarding scope and content without unnecessary 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?

The definition is complete. The description defines the content, the schema defines the input constraints, and the annotations define the behavior/safety, leaving no functional gaps for the agent.

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?

Since schema description coverage is 100%, the description does not need to compensate for parameter details. It provides no additional meaning for the 'lang' parameter beyond its function in dictating content scope, meeting the baseline 3.

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 is exceptionally clear, specifying the topic (privacy and data handling) and listing key elements (GDPR, controller, links) that distinguish it from general retrieval tools like get_article.

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 specificity of the tool (privacy policies) implies clear usage scenarios, and since there are no direct functional alternatives for this topic, the implied guidance is very strong.

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