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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuine domain context about the semantics of the returned settings (three steps, counted from the AI's unanswered last reply, content drawn from the agent's knowledge), but says nothing about return format or failure behavior beyond what the schema already documents.

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 one-line summary is front-loaded and the elaboration follows in a single informative sentence. It is slightly dense but no sentence is wasted.

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 read tool with full parameter documentation and complete annotations, and with no output schema to compensate for, the description supplies enough domain meaning about what the settings contain. The only real gap is the absence of when-to-use routing, which is minor here.

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?

Schema description coverage is 100% and the single agent_id parameter is fully documented in the schema, including the 404 agent_not_found and 403 agent_not_authorized outcomes. The description adds no parameter-level information, so the baseline 3 applies.

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?

States a specific verb (get) and resource (an agent's follow-up settings), and the second sentence concretely describes what those settings govern: whether the AI follows up, on which platforms, and timing across up to three steps. It does not explicitly name the sibling update_follow_up_settings, but the read/update split is unambiguous from the name.

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 explains what the settings are but never says when to call this tool versus alternatives, nor any prerequisites. The only usage signal is the implicit get-vs-update pairing with update_follow_up_settings, which the reader must infer.

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