get_telemetry_preferences

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

No annotations are provided, so the description carries the full burden. It discloses the returned shape (per-category disclosure plus opt-out state) and "Return" implies a non-mutating call, but it says nothing about scope (per-user vs. per-org), authorization requirements, or whether categories are fixed or dynamic.

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 front-loaded sentence with no filler; the payload description lands immediately after the verb. Nothing could be trimmed without losing 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?

With no output schema, the description must sketch the return value, and it does so at a high level. However, the actual categories and their value domain are left undefined, and for a preferences tool the agent would benefit from knowing scope and whether the state is user- or org-level.

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 takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The schema itself is trivially complete.

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?

Specific verb ("Return") plus a concrete resource and payload ("per-category telemetry disclosure + opt-out state"), so the agent knows exactly what it gets back. It does not, however, distinguish itself from the closely-named sibling set_telemetry_preference, which an agent could plausibly confuse it with.

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 when-to-use context, no prerequisites, and no mention of the obvious counterpart set_telemetry_preference (read vs. write). The agent must infer from the name alone that this is the read half of a preference pair.

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