ZenML MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions listing schedules but doesn't cover critical behaviors like pagination mechanics (implied by 'page' and 'size'), rate limits, authentication requirements, or what 'all schedules' means in practice (e.g., permissions, workspace scope). The parameter list hints at filtering but lacks operational context.

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 structured with a clear purpose statement followed by parameter details, but it's verbose due to listing all parameters. Each parameter line is necessary given the schema gap, but the format is repetitive. It could be more front-loaded with key usage notes before the parameter list.

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's complexity (10 parameters, no annotations, but has output schema), the description is moderately complete. It covers parameters well but lacks behavioral context (e.g., pagination, filtering logic). The output schema reduces the need to explain return values, but more operational guidance would improve completeness for a list tool with many filters.

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 description must compensate fully. It provides a comprehensive list of all 10 parameters with brief explanations (e.g., 'sort_by: The field to sort the schedules by'), adding essential meaning beyond the bare schema. This fully addresses the coverage gap, though some details like format examples are missing.

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: 'List all schedules in the ZenML workspace.' It specifies the verb ('List') and resource ('schedules'), making the function unambiguous. However, it doesn't differentiate from sibling tools like 'get_schedule' or other list_* tools, preventing a perfect score.

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 sibling tools like 'get_schedule' for retrieving a single schedule or explain when filtering via parameters is appropriate versus other list tools. Usage is implied but not explicitly stated.

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