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sassoftware

SAS MCP Server

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by sassoftware

create_decision_flow

Create a decision flow by chaining rule set steps with input/output variable definitions and step-to-signature mappings.

Instructions

Create a new SAS Intelligent Decisioning flow chaining rule set steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDecision name (max 60 chars).
signatureYesFlow-level input/output variables, each ``{"name", "direction", "dataType"}`` — direction input or output; dataType string, decimal, integer, date, datetime, boolean.
descriptionNoOptional description.
rule_set_stepsYesOrdered list of rule set steps to execute in sequence, each ``{"ruleSetId", "versionId", "mappings"}`` — versionId is a locked rule set revision (see ``lock_business_ruleset_revision``); mappings is a list of ``{"stepTermName", "direction", "targetDecisionTermName"}`` connecting the rule set's terms to this decision's signature. A term produced as output by an earlier step can be consumed as input by a later step via a shared signature entry.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the burden of behavioral disclosure. The term 'chaining' hints at sequencing, but it does not mention validation, required prior steps (e.g., locking revisions), side effects, or what the tool returns. Output schema exists but is not referenced.

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 a single sentence without superfluous content. However, it is very brief and could include slightly more context without becoming verbose. Still efficient and front-loaded.

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 complexity of 4 parameters including an array of objects, the description provides no context beyond the schema. Output schema exists but is not leveraged. The tool requires understanding of rule set steps and locking, which is not addressed. Adequate but incomplete.

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 coverage is 100%, so the schema already documents all parameters with descriptions. The tool description adds no additional semantics beyond the schema. Baseline score of 3 is appropriate.

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 it creates a new SAS Intelligent Decisioning flow with rule set steps. The verb 'create' and specific resource 'decision flow' provide clear purpose, distinguishing it from sibling tools like 'create_business_rule' or 'update_decision_flow'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance is given. The description implies usage for creating decision flows, but does not mention alternatives or contextual prerequisites such as needing locked rule set revisions.

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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