diagnose_zenml_setup

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

With no annotations provided, the description carries the behavioral disclosure burden. It reveals that the tool works without the SDK or env vars and that it returns structured diagnostics, which is valuable context. It does not explicitly state side-effect-free behavior, but the 'diagnose' and 'Returns diagnostics' language strongly implies a read-only operation.

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 short and front-loaded with the core purpose, followed by the key operational caveat and a clear use case. Every sentence earns its place without redundancy.

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?

For a zero-parameter diagnostic tool with an output schema available, the description covers the essential context: what it diagnoses, what it returns, and when to use it. Nothing important appears to be missing for an agent to invoke it correctly.

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?

This tool has zero parameters, so there is nothing the description needs to clarify about arguments. The baseline for no-parameter tools is 4, and the description appropriately makes no unsupported parameter claims.

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 states a specific verb and resource: 'Diagnose ZenML MCP server setup' and lists the areas covered (env vars, connectivity, auth, versions). It is clear and specific, but it does not explicitly differentiate itself from sibling tools, so it misses the top 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 gives clear usage context: 'use it to troubleshoot setup issues' and notes it works even when the ZenML SDK is not installed or environment variables are missing. It does not mention exclusions or alternative tools, but the intended scenario is well established.

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