Vibe Coder MCP

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

No annotations are provided, so the description carries full burden. It states the tool 'creates' (implying a write/mutation operation) but doesn't disclose behavioral traits like whether it's idempotent, what format the output takes, if it has rate limits, or if it requires specific permissions. For a creation tool with zero annotation coverage, this leaves significant gaps in understanding how it 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 a single, efficient sentence that front-loads the core purpose. It avoids redundancy and wastes no words. However, it could be slightly more structured by separating purpose from input details, but this is minor.

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 creates task lists (a non-trivial operation), has no annotations, and no output schema, the description is incomplete. It doesn't explain what the output looks like (e.g., format, structure of dependencies), potential side effects, or error conditions. For a creation tool with these gaps, more context is needed to use it effectively.

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 ('productDescription' and 'userStories') with descriptions and constraints. The description adds marginal value by listing these inputs ('based on product description, user stories, and research'), but doesn't provide additional semantics beyond what's in the schema (e.g., it mentions 'research' which isn't a parameter). Baseline 3 is appropriate when the 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: 'Creates structured development task lists with dependencies' - a specific verb ('creates') and resource ('task lists'). It mentions the inputs ('based on product description, user stories, and research'), which helps distinguish it from siblings like 'generate-user-stories' or 'generate-prd'. However, it doesn't explicitly differentiate from all siblings (e.g., 'analyze-dependencies' might overlap).

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 prerequisites, when-not-to-use scenarios, or compare to siblings like 'generate-fullstack-starter-kit' or 'process-request'. The agent must infer usage from the purpose alone, which is insufficient for optimal tool selection.

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