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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds the useful detail of which counters are returned, but says nothing about authentication requirements, whether usage is real-time or cached, or behavior when the connection is missing.

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?

A single em-dash sentence that front-loads the resource and then the fields, ending with the practical implication. There is no filler or repetition of the title.

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 and no parameters, the description carries the return-value burden and discharges it by enumerating the returned data groups explicitly. It is nearly complete for a simple read tool, missing only edge-case behavior such as a disconnected or unauthenticated workspace.

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?

There are zero parameters, so the baseline is 4. The description correctly implies no inputs are needed, beyond that it carries no parameter semantics to elaborate.

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 a specific resource and enumerates exactly what comes back: workspace id/name/timezone, subscription plan, and usage against each plan limit. It is not differentiated from the sibling get_workspace_analytics, however, so an agent must infer whether 'usage' here overlaps with that tool.

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 supplies concrete use context — 'what is left before adding leads, starting campaigns or sending replies' — which tells the agent this is a pre-flight capacity check. No explicit alternatives or when-not conditions are given, so it stops short of a 5.

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