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IBM watsonx.data MCP Server

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by IBM

scale_presto_engine

Scale a Presto engine by specifying coordinator and worker node counts in watsonx.data. Optionally change node types during scaling.

Instructions

Scale a Presto 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 Presto) 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

Behavior5/5

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

No annotations provided, but description fully discloses critical behaviors: coordinator quantity fixed at 1, worker range 1-50, node types can be changed, coordinator and worker can have different types. No ambiguity.

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?

Well-structured with bullet points and sections. Slightly verbose but every sentence adds value. No redundancy.

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's complexity (5 parameters, no annotations, output schema present), the description covers all necessary information: purpose, constraints, ranges, requirements. No gaps.

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 has 0% description coverage, but description's Args block explains each parameter with constraints (e.g., coordinator_quantity must be 1, worker_quantity 1-18 recommended). Adds significant meaning beyond the bare schema.

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?

Clearly states it scales a Presto engine by adjusting node counts in watsonx.data. The specific verb 'scale' and resource 'Presto engine' distinguish it from sibling tools like scale_prestissimo_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?

Provides explicit guidelines: recommended node types, scaling capabilities, requirement to provide both coordinator and worker configurations. Does not explicitly mention when not to use or compare with alternatives, but the context is sufficiently 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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