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

Annotations already declare readOnlyHint=true and openWorldHint=false. The description adds meaningful expectation-setting by saying it returns a recipe with 'selective Markdown follow-up notes, not completed analysis' — this prevents the agent from assuming it executes a full analysis. It does not discuss rate limits or side effects, but those are minimal for a read-only recipe tool.

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?

Three tight sentences, front-loaded with the usage trigger and purpose, no filler or redundancy. Every sentence adds distinct 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?

An output schema exists, so the description needn't detail return values. The brief characterization of the output ('recipe with selective Markdown follow-up notes') is sufficient alongside the schema; only minor ambiguity remains about what the recipe includes.

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, and the description correctly states 'No arguments required', matching the schema. With no parameters to explain, the baseline is already high.

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 use case (weekly analytics review, prior-action follow-up, next priorities) and clarifies the output is a 'review recipe' rather than a completed analysis. This differentiates it from siblings like d8a_run_query and d8a_get_saved_report, though 'recipe' remains somewhat abstract.

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?

Explicitly triggers on requests for a weekly review, follow-up, or priorities. It doesn't name alternative tools to use instead, but the context is clear enough that an agent knows when this is the right entry point.

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