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mlflow-mcp-server

by us-all

get-metric-history

Retrieve the full history of a specific metric for a given MLflow run. Supports pagination to handle large datasets.

Instructions

Get full history of a metric for a run

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
runIdYes
metricKeyYesMetric name
pageTokenNo
maxResultsNo
Behavior2/5

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

No annotations are present, so the description must disclose behavior. It mentions 'get' (read-only) but does not explain pagination (despite pageToken and maxResults parameters), nor does it define 'full history' (e.g., time range, metric values). Behavioral traits beyond the basic operation are omitted.

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

Conciseness3/5

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

The description is a single short sentence, which is succinct but lacks necessary detail. It is front-loaded but sacrifices completeness for brevity.

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

Completeness2/5

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

With 4 parameters and no output schema, the description is inadequate. It fails to explain pagination, required parameters beyond the list, or the structure of the returned history. The tool is simple but the description leaves significant gaps.

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

Parameters2/5

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

Schema description coverage is only 25% (metricKey has a description: 'Metric name'). The description adds no additional meaning to runId, pageToken, or maxResults. It does not explain their purpose or constraints.

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 action ('Get'), the resource ('full history of a metric'), and the context ('for a run'). It effectively distinguishes from sibling tools like 'get-run' or 'log-metric'.

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?

No guidance is provided on when to use this tool versus alternatives such as 'log-metric' or 'get-run'. The description lacks any when-not-to-use or prerequisite information.

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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