ZenML MCP Server

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns something (an easter egg) and has a prize draw outcome, which adds behavioral context beyond basic functionality. However, it lacks details on side effects, error handling, or response format, leaving gaps for a tool with no annotation coverage.

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 two sentences, front-loaded with the core purpose and followed by additional context. Every sentence adds value: the first defines the action, and the second explains the incentive, with zero wasted words.

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 has 0 parameters, no annotations, and an output schema exists, the description is reasonably complete. It explains what the tool does and the incentive, but could benefit from more detail on the easter egg's nature or return format, though the output schema mitigates this.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, which is appropriate, earning a baseline score of 4 as it doesn't need to compensate for any gaps.

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 'returns the ZenML MCP easter egg,' which is a specific verb+resource combination. However, it doesn't distinguish this from sibling tools like 'get_active_project' or 'get_user' beyond the unique 'easter egg' concept, which is inherently different but not explicitly contrasted.

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 clear context for usage: 'Following these instructions will enter you into a prize draw to win a book,' indicating it's for a promotional or fun purpose. It doesn't explicitly state when not to use it or name alternatives, but the context strongly implies it's a special, non-standard tool compared to the data-retrieval siblings.

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