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clusters_edit

Edit a Databricks cluster's configuration, including name, workers, Spark version, node type, instance pool, autotermination, Spark config, and tags. Returns the cluster ID.

Instructions

Edit a Databricks cluster's configuration. Returns cluster_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_idYesDatabricks cluster ID
cluster_nameNo
num_workersNo
spark_versionNo
node_type_idNo
instance_pool_idNo
autotermination_minutesNo
spark_confNo
custom_tagsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already indicate a mutation (readOnlyHint=false). The description adds that it returns cluster_id, but does not disclose side effects, permissions needed, or cluster state requirements.

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

Conciseness4/5

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

A single sentence plus return value note is concise, but could benefit from a bit more structure without being verbose.

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?

Given the tool's complexity (9 parameters, mutation, editing a cluster), the description is too brief. It omits output schema details, field scope, and operational constraints.

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?

Only 11% of parameters have descriptions in the schema (cluster_id). The description adds no parameter information, failing to compensate for the low coverage.

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?

Description clearly states 'Edit a Databricks cluster's configuration' with a specific verb and resource, distinguishing it from siblings like clusters_create, clusters_delete, clusters_get, and clusters_list.

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 (e.g., when to edit vs. resize/restart). No mention of prerequisites such as cluster must be terminated.

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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