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

Annotations already establish readOnly, idempotent, and non-destructive behavior, lowering the burden on the description. The description adds the aggregate-distribution context, but it does not disclose output format, granularity, or whether countryCode acts as a filter, so there is only moderate added transparency.

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 short sentences deliver the purpose and usage guidance with no filler. The key object ('country and region distribution') is 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?

For a simple read-only tool the description covers the core result and a use case, but with no output schema it does not describe the return shape or the countryCode effect. The missing parameter semantics and return details leave the agent to guess at call behavior.

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?

With 0% schema-description coverage, the description needed to document the parameters. It only indirectly implies projectId through 'a project's members' and says nothing about countryCode, leaving a required input concept and the optional filter unexplained.

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 opens with a specific verb and resource: 'Get the country and region distribution of a project's members.' This is explicit and clearly distinguishes the tool from siblings like sm_get_member or sm_get_member_growth, even without naming them.

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?

'Use for territory, event and travel-planning questions' gives clear, concrete situations where the tool is appropriate. It does not state exclusions or name alternative tools, so it stops just short of full routing guidance.

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