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IBM watsonx.data MCP Server

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by IBM

scale_prestissimo_engine

Scale a Prestissimo engine in watsonx.data by specifying coordinator and worker node configurations, including type and quantity, to adjust capacity.

Instructions

Scale a Prestissimo engine by adjusting coordinator and worker node counts in watsonx.data.

RECOMMENDED NODE TYPES: "starter" or "cache_optimized" (other types may be available)

SCALING CAPABILITIES:

  • Coordinator quantity: Always 1 (cannot be changed)

  • Worker quantity: 1-18 (recommended), up to 50 may be supported

  • Node types CAN be changed during scaling (e.g., from "starter" to "cache_optimized")

  • Coordinator and worker do NOT need to match node types

API REQUIREMENT: Must provide BOTH coordinator AND worker configurations together.

Args: engine_id: Engine identifier coordinator_node_type: Typically "starter" or "cache_optimized". Can be different from current type. coordinator_quantity: Number of coordinator nodes (must be 1 for Prestissimo) worker_node_type: Typically "starter" or "cache_optimized". Can be different from coordinator_node_type. worker_quantity: Number of worker nodes (1-18 recommended, up to 50 may be supported)

Returns: Dict with scaling operation status and new node configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engine_idYes
coordinator_node_typeYes
coordinator_quantityYes
worker_node_typeYes
worker_quantityYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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 key behaviors: coordinator quantity fixed at 1, worker range, node types can be changed, and both configurations must be provided. This adds value beyond the input schema.

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?

The description is well-structured with sections for recommendations, capabilities, API requirements, and parameter details. It is slightly verbose but every sentence provides useful information, with the main action front-loaded.

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

Completeness5/5

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

Given the tool has 5 required parameters and an output schema, the description covers all parameters, explains return values, and addresses potential edge cases (e.g., node type changes, different types for coordinator and worker). It is complete for the complexity level.

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?

Schema description coverage is 0%, but the description explains each parameter thoroughly, including constraints (e.g., coordinator_quantity must be 1, worker_quantity recommended 1-18), typical values, and how parameters interact. This fully compensates for the lack of schema 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?

The description clearly states the action: 'Scale a Prestissimo engine by adjusting coordinator and worker node counts'. It specifies the resource (Prestissimo engine) and the specific adjustments, distinguishing it from siblings like scale_presto_engine and scale_spark_engine.

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 provides clear guidelines: recommended node types, scaling capabilities (coordinator always 1, worker 1-18), note that node types can be changed, and requirement to provide both configurations. It does not explicitly state when not to use this tool versus alternatives, but the context is clear.

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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