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zenml-io

ZenML MCP Server

Official
by zenml-io

open_run_activity_chart

Visualize pipeline run activity over the last 30 days with an interactive bar chart, including hover tooltips and color-coded status breakdown for completed, failed, and other runs.

Instructions

Open an interactive chart showing pipeline run activity over the last 30 days.

Shows a bar chart with daily run counts, hover tooltips, and status breakdown (completed in green, failed in red, other in amber).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.0.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the interactive elements (hover tooltips, status breakdown) and color coding, which are useful behavioral hints, but it does not state whether the operation is read-only, has side effects, or requires any setup. For a 0-param tool, this is adequate but not rich.

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?

Two sentences with no filler. The primary action is front-loaded, and the second sentence adds specific details about the chart's interactivity and color coding. Every word earns its place.

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 parameterless tool, the description fully covers what the agent needs to know to invoke it: what the chart shows and its scope. The existence of an output schema fills in any return-value details, so nothing essential is missing. It could mention what happens with no data, but that's minor.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. There is no parameter ambiguity to resolve, and the description's mention of 'last 30 days' is a fixed behavior, not a parameter.

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

Purpose4/5

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

The description states a specific verb ('Open') and a specific resource ('interactive chart showing pipeline run activity over the last 30 days'), clearly going beyond the name. However, it does not explicitly differentiate from the sibling open_pipeline_run_dashboard, so it earns a 4 rather than a 5.

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

Usage Guidelines4/5

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

The description clearly states the chart's scope (last 30 days) and content, giving the agent a clear context for when to use it. It does not name any alternative or provide exclusion criteria, so it falls short of a 5.

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