run_ml_project

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

With no annotations provided, the description must disclose behavioral traits, but it fails to do so. It does not mention whether running a project is asynchronous, creates a job, requires specific permissions, or has side effects. The text is essentially a tautology of the tool name, adding no behavioral insight.

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 a single sentence with no wasted words, but it is minimally informative. It is concise in length yet fails to justify its existence by not adding substantive value beyond the tool name, making it neither notably concise nor overly verbose.

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?

Despite having an output schema, the description omits essential context about the execution process, such as whether the run blocks or returns a job reference, and how it relates to sibling tools like get_job_status or submit_batch_job. This is insufficient for an agent to correctly integrate the tool into a workflow.

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 provides 100% coverage with a clear description for project_id ('ID of the project to run'). The description adds no additional parameter semantics, so the baseline score of 3 applies due to high schema coverage.

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?

Uses the specific verb 'Run' with the resource 'AutoML pipeline automation project', clearly indicating the execution action. This distinguishes it from sibling tools like list_ml_projects, create_ml_project, and delete_ml_project, which are management operations.

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?

No guidance is given on when to use this tool versus alternatives, such as after creating a project or for monitoring via get_job_status. The description only states the action without any context or prerequisites, leaving the agent to infer usage.

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