NicePay MCP Server

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It states the tool retrieves information and provides usage examples, but lacks details on permissions, rate limits, error handling, or response format. For a read operation with no annotation coverage, this leaves significant gaps in understanding how the tool behaves.

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 concise with two sentences that directly address the tool's function and provide examples. It's front-loaded with the core purpose, though the second sentence could be more tightly integrated. There's no wasted text, making it efficient for an agent to parse.

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 no annotations, no output schema, and a single parameter with full schema coverage, the description is incomplete. It adequately covers the purpose but lacks behavioral context (e.g., what the response looks like, error conditions) and usage guidelines relative to siblings. For a tool in a suite with similar functions, this leaves the agent under-informed.

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?

Schema description coverage is 100%, with the single parameter 'method_name' well-documented in the schema. The description adds minimal value beyond the schema by mentioning example method names like 'requestPay' and 'cancelPay', but doesn't provide additional syntax, constraints, or contextual meaning. Baseline 3 is appropriate given high schema coverage.

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: 'JS SDK 메서드 정보를 조회합니다' (retrieves JS SDK method information). It specifies the resource (SDK methods) and verb (retrieve/lookup), though it doesn't explicitly differentiate from sibling tools like get_api_endpoint or get_code_sample. The mention of specific examples like AUTHNICE.requestPay() adds helpful specificity.

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. It doesn't mention sibling tools like get_api_endpoint, get_code_sample, or search_nicepay_docs, nor does it specify any prerequisites, exclusions, or contextual triggers for usage. The agent must infer usage from the purpose alone.

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