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

Annotations already declare this is a read-only, idempotent, non-destructive, closed-world computation, so the safety profile is covered. The description adds the conceptual model (hours + cost of re-briefing) but omits behavior around the optional hourly_cost parameter, e.g. what the estimate does when it is not supplied.

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 sentences with no filler: the first defines the output, the second defines the trigger. The result (what is estimated) is correctly front-loaded.

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 does state that monthly hours and cost are returned, which covers the main return-value question. For a pure-calculation tool with fully documented parameters this is sufficient, though a note on the optional hourly_cost path would complete it.

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%, so each parameter already carries its own definition and bounds. The description adds no unit, default, or formula detail beyond what the schema provides, so the baseline of 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?

The description gives a specific verb (estimates) and resource (monthly hours and cost of re-briefing clients into AI tools), so the agent knows exactly what is produced. It is clear but does not name or contrast with any sibling tool, leaving differentiation to the reader.

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?

It states a concrete triggering condition: when the user asks what re-briefing AI or re-pasting client context costs. That is a usable when-to-use signal, but there is no when-not-to-use guidance or reference to an alternative sibling such as capacity_check.

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