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 of behavioral disclosure. It states the tool retrieves a model version but does not describe what happens if the input is invalid (e.g., non-existent model/version), whether it requires authentication, rate limits, or the format of the output. This leaves significant gaps in understanding the tool's behavior.

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 front-loaded with the core purpose in the first sentence, followed by a brief parameter explanation. It avoids unnecessary details but could be slightly more structured (e.g., separating usage notes). Overall, it is efficient with minimal waste.

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 an output schema (which handles return values), the description's main gaps are in usage guidelines and behavioral transparency. With no annotations and 0% schema coverage, it partially compensates with parameter semantics but lacks context on errors, auth, or sibling differentiation, making it adequate but incomplete.

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 0%, so the schema provides no parameter details. The description adds value by explaining that parameters accept 'name, ID or prefix' for both inputs, clarifying their flexible nature. However, it does not specify format constraints (e.g., string patterns) or examples, leaving some ambiguity.

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: 'Get a model version by name, ID, or prefix.' It specifies the verb ('Get') and resource ('model version'), and the method ('by name, ID, or prefix') is explicit. However, it does not distinguish this tool from its sibling 'get_model' or 'list_model_versions', which reduces clarity slightly.

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 like 'get_model' or 'list_model_versions'. It lacks context about prerequisites, such as whether the model or version must exist, and does not mention any exclusions or specific use cases.

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