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 does add some useful context: it explains what snapshots are (frozen pipeline configurations) and mentions that include_config_schema 'can produce large payloads.' However, it doesn't cover important behavioral aspects like authentication requirements, rate limits, error responses, or whether this is a read-only operation (though 'get' implies it).

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 well-structured and appropriately sized. It starts with the core purpose, provides conceptual context about snapshots, then lists parameters with helpful explanations. Every sentence adds value, though the conceptual explanation could be slightly more concise. The parameter explanations are particularly efficient and informative.

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 (5 parameters, no annotations, but with output schema), the description is quite complete. It explains the tool's purpose, provides conceptual background about snapshots, and thoroughly documents all parameters. The presence of an output schema means the description doesn't need to explain return values. The main gap is lack of usage guidance relative to sibling tools.

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 description provides excellent parameter documentation beyond the 0% schema coverage. It explains what each parameter does: 'name_id_or_prefix' identifies the snapshot, 'pipeline_name_or_id' narrows search, 'project' sets scope, 'include_config_schema' affects payload size, and 'hydrate' adds details. This fully compensates for the lack of schema descriptions and adds meaningful context about parameter behavior.

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 detailed information about a specific snapshot.' It specifies the verb ('get') and resource ('snapshot'), and provides context about what snapshots are (frozen pipeline configurations). However, it doesn't explicitly differentiate from sibling tools like 'list_snapshots' or 'get_pipeline_details', which would be needed for a score of 5.

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 'list_snapshots' for browsing or 'get_pipeline_details' for pipeline-specific information. There's no context about prerequisites, error conditions, or typical use cases beyond the basic functionality.

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