mlflow_model_versions_create

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

Annotations already indicate readOnlyHint=false, so the description's 'Create' is consistent but adds no additional behavioral traits. It doesn't mention permissions, idempotency, or side effects beyond the minimal.

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 very short (one sentence with API endpoint), which is concise but lacks substance. It could be considered under-informative rather than optimally concise.

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 6 parameters, many undocumented, and the description adds nothing, it is incomplete. The presence of an output schema does not excuse the lack of parameter explanation.

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?

With only 33% schema description coverage, the description should compensate by explaining parameters like run_id, tags, description, run_link, but it does not. It adds no value beyond the schema's sparse descriptions.

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 'Create a model version', providing a specific verb and resource. It distinguishes from sibling tools like mlflow_model_versions_get or mlflow_model_versions_list, but lacks additional context about what a model version is.

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 on when to use this tool versus alternatives such as mlflow_model_versions_update or mlflow_model_versions_transition_stage. No prerequisites or when-not-to-use information are provided.

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