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

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds a meaningful behavioral requirement: the agent must quote licensing and privacy statements exactly as returned and never paraphrase them. This goes beyond the annotation coverage, though it does not describe response formatting details.

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 with no filler. It front-loads the tool's purpose and then provides the critical behavioral instruction about quoting. Every sentence adds necessary information.

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 parameterless informational tool with strong annotations, this description is nearly complete. It tells the agent what topics the output covers and how to handle the returned statements. Without an output schema, it could specify the response structure slightly more, but the current level is sufficient for correct invocation.

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 tool has zero parameters, so there is no parameter semantics to explain. Schema description coverage is 100% because the properties object is empty. The description appropriately avoids inventing parameter-related content.

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 explicitly identifies what the tool returns: what the service is, how licensing works, and what the server sees. This clearly distinguishes it from the sibling tools, which handle tracks, searches, cues, and feedback.

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 use context is clear: this is the tool for service-level licensing, privacy, and about information. It does not explicitly name alternatives or state when not to use it, but the scope is obvious relative to the siblings. The added instruction to quote statements rather than paraphrase further guides agent behavior.

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