Skip to main content
Glama

clusters_events

Read-only

Retrieve a chronological list of events for a given Databricks cluster, with options to filter by type and order.

Instructions

List cluster events (ordered from oldest by default).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_idYesDatabricks cluster ID
limitNo
offsetNo
orderNoASC | DESC — chronological ordering of events
event_typesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, indicating safe read. The description adds the default ordering behavior (oldest first), but does not disclose other traits like pagination or filter behavior beyond what the schema provides.

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 wasted words. It is front-loaded with the key action and resource, making it easy to parse quickly.

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

Completeness3/5

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

Given the tool has 5 parameters and an output schema, the description is minimal. It does not explain what cluster events are or how to use parameters like event_types, but the output schema likely provides return value details. The description is adequate but could be more comprehensive.

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 40% (cluster_id and order have descriptions). The description adds meaning by stating the default ordering, but does not elaborate on other parameters like event_types, limit, or offset beyond their schema info.

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 ('List') and resource ('cluster events'), distinguishing it from other cluster tools like clusters_get (get details) or clusters_list (list clusters). The verb and resource are specific and unambiguous.

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 on when to use this tool versus alternatives. While it's intuitive for listing events, there is no explicit mention of context or exclusion criteria, leaving the agent to infer usage.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/inav/databricks-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server