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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description earns extra credit by disclosing the return payload (including the time-scoped 'last week's answers by confidence') that exists nowhere else since there is no output schema. It still omits auth requirements and response format 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?

Two dense, front-loaded sentences listing exactly what is returned with a clarifying parenthetical for the handoff threshold. No filler or repetition.

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 zero-parameter, no-output-schema getter, the description covers most of what an agent needs by enumerating returned fields. It stops short of noting scope boundaries relative to get_ai_settings or the shape/limit of the weekly answer statistics.

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 the baseline is 4. No parameter guidance is needed or missing.

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 precisely enumerates what the tool returns – agent name, tone, instructions, handoff threshold, low-confidence handling, allowed tools, plus last week's answer stats – so an agent knows exactly what resource it retrieves. However, it never states purpose with a verb or distinguishes itself from the adjacent get_ai_settings/update_agent siblings, leaving the boundary to inference.

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?

There is no when-to-use guidance, no prerequisite, and no mention of alternatives. Given siblings like get_ai_settings and update_agent, the reader gets no help deciding which to call for agent configuration vs. global AI settings.

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