colacloud-mcp

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adequately describes what the tool returns (usage statistics, rate limits) and implies it's a read-only operation through the verb 'Check.' However, it doesn't mention potential authentication requirements, error conditions, or whether the data is real-time versus cached, leaving some behavioral aspects unclear.

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 well-structured and front-loaded, starting with the core purpose and following with details on returns. Every sentence adds value without redundancy, and it efficiently communicates the tool's functionality in a compact format. There's no wasted verbiage or unnecessary elaboration.

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?

Given the tool's simplicity (no parameters, with an output schema), the description is largely complete. It explains the purpose and what to expect in returns, which aligns with the presence of an output schema. However, it could be more comprehensive by addressing authentication needs or error handling, slightly reducing completeness for a tool with no annotations.

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, and the input schema has 100% coverage (empty object). The description appropriately doesn't discuss parameters since none exist, focusing instead on the return values. This meets the baseline expectation for a parameterless tool, though it doesn't add extra semantic context beyond what the schema already indicates.

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 specific verb 'Check' and resource 'COLA Cloud API usage and rate limits', making the purpose immediately understandable. It distinguishes this tool from sibling tools like 'get_cola' or 'search_colas' by focusing on API usage metrics rather than data retrieval operations.

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?

The description provides no guidance on when to use this tool versus alternatives. While it implicitly suggests usage for monitoring API consumption, it doesn't mention prerequisites, timing considerations, or how it relates to other tools in the system. There's no explicit 'when' or 'when not' context provided.

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