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

Annotations already establish this as a read-only, closed-world operation, so the bar is lower. The description does add genuine context beyond annotations by explaining that seats are a consumable capacity constraint on sends and broadcasts, but it doesn't say whether the call itself consumes quota or how a full seat pool should be handled.

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 tight sentences with the resource and its fields front-loaded and the operational consequence second. Slight terseness — the fragments read like notes rather than prose — but nothing 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?

With no output schema, listing the returned seat fields is exactly the right compensation, and the capacity constraint is stated. For a read-only, single-optional-param tool this covers nearly everything an agent needs before calling 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?

Only one optional parameter exists and the schema describes it fully (100% coverage), so semantics are already carried by structured data. The description adds nothing about the purpose argument, though nothing is missing either.

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 names the specific resource — workspace AI concurrency — and enumerates the three returned fields (seats_total, seats_in_use, seat_tier), which clearly separates it from agent-detail siblings like get_agent. It lacks an explicit verb ("get"/"read"), but the read intent is unambiguous from the field list.

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?

"A send or broadcast dial needs a free seat" implies the check-before-sending workflow, but it never explicitly tells the agent to call this before send_agent_call or start_broadcast, nor does it state when not to bother. Usage is inferable rather than stated.

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