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sassoftware

SAS MCP Server

Official
by sassoftware

create_business_ruleset

Create a new SAS Business Rules rule set by defining its name and input/output variable signature, preparing it for rule population and decision flow use.

Instructions

Create a new SAS Business Rules rule set.

A rule set with no rules cannot be used in a decision flow — follow up with create_business_rule to populate it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRule set name (max 30 chars).
signatureYesInput/output/inOut variables the rules operate on, each ``{"name", "dataType", "direction"}`` — dataType one of string, decimal, integer, date, datetime, dataGrid, boolean, any; direction one of input, output, inOut.
descriptionNoOptional description.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.5.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations are generic (all false), so the description carries the burden of behavioral disclosure. It adds the critical fact that an empty rule set is unusable and requires subsequent population, which goes beyond annotation hints. While it doesn't describe side effects like permissions or response behavior, this is sufficient for a create operation.

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?

The description is exceptionally concise, consisting of two sentences that front-load the purpose and immediately follow with a crucial usage constraint. No redundant or wasteful text.

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?

With an output schema and simple parameters, the description provides necessary context including the dependency on create_business_rule. It is complete for its intended purpose, though it could mention error cases or prerequisites if any existed.

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 description coverage is 100%, so the schema fully documents parameters. The description adds no additional parameter-specific semantics beyond the schema, which is acceptable per baseline expectations.

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 verb 'Create' and specific resource 'SAS Business Rules rule set', distinguishing it from sibling tools like list, update, and delete. The added note about rules needing population further clarifies its distinct role.

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?

It explicitly explains that a rule set without rules cannot be used in a decision flow and advises following up with create_business_rule, providing a clear workflow hint. It does not explicitly state when NOT to use it or list alternatives, but the guidance is practical and contextual.

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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