set-run-tag
Assign a key-value tag to an MLflow run using its run ID. Use this to add metadata for organizing experiments.
Instructions
Set a tag on a run
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| runId | Yes | ||
| key | Yes | ||
| value | Yes |
Assign a key-value tag to an MLflow run using its run ID. Use this to add metadata for organizing experiments.
Set a tag on a run
| Name | Required | Description | Default |
|---|---|---|---|
| runId | Yes | ||
| key | Yes | ||
| value | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate mutation (readOnlyHint=false) and flexible keys (openWorldHint=true). The description adds no extra behavior info, such as whether it overwrites existing tags with the same key or the effect of multiple calls.
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, which is concise but overly sparse. It front-loads the verb and resource but omits essential details, making it efficient but insufficient.
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 lack of parameter descriptions, output schema, and behavioral details, the description is incomplete. The agent cannot determine valid formats for runId, key, or value, or how the tool interacts with other run-level operations.
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 coverage is 0% and the description does not explain any parameter. The three parameters (runId, key, value) have no description, leaving the agent to infer their meaning from names alone. This is a critical gap.
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 action (set) and the resource (a tag on a run), distinguishing it from siblings that tag other entities (e.g., set-experiment-tag). However, it lacks nuance about whether it overwrites or appends tags.
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 like delete-run-tag or set-experiment-tag. The description does not mention prerequisites, idempotency, or related tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/us-all/mlflow-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server