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

The annotations already convey read-only and idempotent behavior, and the description adds useful context about what the profile covers, including privacy, DPA, c ontrols, and evidence URLs. It does not contradict the annotations and gives the agent a clearer picture of the response's focus.

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 compact sentence lists all relevant topic areas with no filler, repetition, or unnecessary detail. Every phrase contributes to the agent's understanding of what the tool returns.

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 simple one-parameter, read-only tool with an output schema and annotations, the description is mostly complete: it captures the core subject areas and even mentions evidence URLs. It could be slightly stronger by explicitly differentiating from sibling profile tools, but the content list makes the scope 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?

The schema has one optional locale parameter with an enum and default, which is self-explanatory, but the description adds no explanation of locale or how it affects the response. With schema description coverage at 0%, the description was expected to compensate but does not.

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 uses a specific verb, 'Explain', and lists concrete content topics: controller and processor roles, public AI training policy, private customer data exclusions, controls, DPA, privacy, and subprocessor evidence URLs. This clearly identifies the tool's purpose and makes it distinguishiable from sibling tools like security or company profile tools, even without naming an alternative.

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 description provides no explicit when-to-use guidance, alternatives, or exclusion criteria. An agent must infer from the topic list when this profile tool is appropriate, and there is no comparison with sibling tools such as dp_commercial_get_security_profile.

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