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mlflow-mcp-server

search-runs

Read-only

Search MLflow runs using filter expressions and pagination. Retrieve runs by experiment, metrics, or parameters.

Instructions

Search runs with filter expression and pagination

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
experimentIdsNoExperiment IDs (defaults to MLFLOW_EXPERIMENT_ID)
filterNoFilter expression, e.g. "metrics.rmse < 1"
runViewTypeNo
maxResultsNoMax results (default 100)
orderByNoSort fields, e.g. ['metrics.rmse ASC']
pageTokenNo
extractFieldsNoComma-separated dotted paths with `*` wildcard (e.g. 'runs.*.info.run_id'). Reduces response tokens.
Behavior3/5

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

Annotations declare readOnlyHint and openWorldHint, which cover safety and scope. The description adds the pagination detail but does not discuss rate limits, return format size, or pageToken behavior, so it adds modest value beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no redundant words. It front-loads the core action and key features, earning its place efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only search tool with good schema and annotations, the description is adequate. It could include more on pagination mechanics or return structure, but it is functional and sufficient for basic use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is high (71%), so baseline is 3. The description references filter and pagination but does not add new meaning beyond the schema definitions. No extra parameter context or examples provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Search' and the resource 'runs', and specifies key features 'filter expression and pagination', distinguishing it from siblings like 'search-runs-by-tags'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide any guidance on when to use this tool versus alternatives or any prerequisites. No exclusions or context for when not to use it is given.

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

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