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 for behavioral disclosure. It mentions the tool 'works like a senior developer taking instructions' which hints at AI-driven interpretation, but doesn't specify permissions needed, whether changes are reversible, rate limits, error handling, or what the response contains. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 appropriately concise with two sentences that each add value. The first sentence states the core functionality, and the second provides a helpful analogy. There's no redundant information or wasted words, though it could be slightly more front-loaded with explicit usage guidance.

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 2 parameters with full schema coverage but no annotations and no output schema, the description provides adequate basic context for a mutation tool. However, it lacks details about what constitutes a successful modification, error conditions, or the nature of the AI interpretation - gaps that become more significant without structured output information.

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%, so the schema already documents both parameters well. The description adds minimal parameter semantics beyond the schema - it implies 'instruction' should be natural language change descriptions, but doesn't provide additional syntax, format, or constraint details. Baseline 3 is appropriate when schema does the heavy lifting.

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: 'Modify an existing VULK project using natural language' with the verb 'modify' and resource 'VULK project'. It distinguishes from siblings like 'generate' (likely creates new) and 'deploy' (likely publishes), but doesn't explicitly contrast with all alternatives. The analogy to 'senior developer' adds helpful context.

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 through 'modify an existing VULK project' and the senior developer analogy, suggesting this is for iterative changes rather than initial creation. However, it doesn't explicitly state when to use this vs. alternatives like 'generate' (for new projects) or 'files' (for direct file manipulation), nor does it mention prerequisites or exclusions.

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