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IBM watsonx.data MCP Server

Official
by IBM

scale_spark_engine

Scale a Spark engine by adjusting its node count in watsonx.data. Specify target nodes to handle varying workloads.

Instructions

Scale a Spark engine by adjusting node count in watsonx.data (SAAS only).

Args: engine_id: Engine identifier number_of_nodes: Target node count (1-1000)

Returns: Dict with scaling operation status (202 Accepted - asynchronous operation)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engine_idYes
number_of_nodesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Discloses asynchronous nature (202 Accepted) and SAAS-only constraint, but does not detail side effects like downtime or whether scaling is incremental or requires a restart.

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?

Extremely concise with a clear structure: summary line, parameter list, return description. No extraneous words.

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?

Covers input, effect, and return. Lacks preconditions or error scenarios, but sufficient for a simple scaling tool given the complexity.

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

Parameters5/5

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

Adds meaning beyond schema by specifying node count range (1-1000) and clarifying that engine_id is an identifier, compensating for schema's lack of descriptions.

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 the action (scale) and resource (Spark engine) with the specific constraint of SAAS only, which differentiates it from sibling tools that scale other engine types.

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 scale versus other operations like pause or resume, and no mention of prerequisites or if the engine must be running.

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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