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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says it returns a list of supported options; it does not mention that it is a read-only operation with no side effects, nor does it disclose any authentication requirements or potential delays. The minimal description leaves important behavioral traits unaddressed.

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?

The description is extremely concise: two sentences that front-load the purpose with no superfluous words. Every sentence contributes to understanding what the tool does and what it returns.

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 metadata tool with no parameters and an output schema present, the description is minimally adequate. However, it lacks explicit context that this tool provides valid options for other tools (e.g., for use as parameter values), which would make it more actionable. It does not describe the return format or structure beyond a generic list.

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 has zero parameters, so the baseline is 4. The description adds nothing about parameters (there are none), and the schema is empty with 100% coverage. The description does not need to explain parameters, so the baseline is appropriate.

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 clearly states the tool's purpose: to check the list of cities, regions, and economic indicators supported by the MCP server. It identifies a specific resource (supported options) and a clear verb (check), and it distinguishes itself from data-fetching siblings by being a metadata/discovery 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?

Usage is implied rather than explicit. The description does not state when to use this tool versus the data tools, nor does it mention that it should be consulted to obtain valid parameter values for sibling tools. There is no direct guidance, but the context of sibling names suggests it's a discovery helper.

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