lazymac-k-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 only lists what is validated but doesn't describe how the validation works, what the output looks like, error handling, rate limits, authentication needs, or whether it's read-only or mutative. This leaves significant gaps for a tool with undocumented parameters.

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—a single phrase listing three validation targets. It's front-loaded with the core purpose and has zero wasted words, making it efficient for quick scanning.

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 complexity of validation (three different formats), lack of annotations, no output schema, and a generic parameter object, the description is incomplete. It doesn't explain how to structure inputs, what validation rules apply, or what results to expect, leaving too much ambiguity for effective use.

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 schema has 100% description coverage but only documents a generic 'params' object as 'Free-form params object'. The description doesn't add any semantic details about what specific parameters are expected (e.g., formats for BRN, corp registration, phone), leaving parameters effectively undocumented despite the 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: validating three specific Korean business identifiers (BRN, corporate registration, phone format). It uses specific verbs ('validate') and resources, though it doesn't explicitly differentiate from sibling tools like 'k_company_lookup' or 'k_privacy_scan' that might have overlapping validation functions.

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 when to choose this validator over sibling tools like 'k_company_lookup' or 'k_privacy_scan', nor does it specify prerequisites, context, or exclusions for usage.

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