VULK MCP Server

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

With no annotations provided, the description carries full burden and discloses key behavioral traits: generation time (1-5 minutes), deployment of live preview, and return values (files, preview URL, editor URL). It doesn't cover error handling, rate limits, or authentication needs, but provides substantial operational context beyond basic functionality.

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 efficiently structured in three sentences: first states core functionality, second adds operational details (time, deployment), third specifies return values. Every sentence adds value without redundancy, and key information is front-loaded for quick comprehension.

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 complex generation tool with no annotations and no output schema, the description provides good coverage of what the tool does, how long it takes, what it returns, and deployment outcomes. It could benefit from mentioning error cases or authentication requirements, but is largely complete for agent understanding.

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%, providing detailed documentation for both parameters. The description adds no parameter-specific semantics beyond what's in the schema, but doesn't need to compensate for gaps. Baseline 3 is appropriate as the schema adequately defines parameter purposes and constraints.

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 with specific verbs ('build', 'generates', 'deploys') and resources ('complete web application', 'all files', 'live preview'). It distinguishes from siblings like 'deploy', 'edit', or 'files' by emphasizing comprehensive generation from text description rather than incremental 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 implies usage context ('from a text description') and mentions generation time, but lacks explicit guidance on when to use this vs. alternatives like 'deploy' or 'edit'. No exclusions or prerequisites are stated, leaving the agent to infer based on the comprehensive nature of the tool.

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