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sassoftware

SAS MCP Server

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by sassoftware

create_business_ruleset

Create a new SAS Business Rules rule set to define input, output, or inOut variables. Populate with rules using create_business_rule for use in decision flows.

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

Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It states that a ruleset with no rules cannot be used in a decision flow, which is a key behavioral trait. However, it does not mention any side effects, permissions required, or idempotency characteristics.

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 extremely concise with two sentences, no unnecessary words. It front-loads the main purpose and then adds a crucial note about follow-up.

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?

Given that an output schema exists, the description doesn't need to explain return values. It covers the essential purpose and a key constraint. However, it could benefit from mentioning prerequisites or potential errors (e.g., duplicate name).

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. The description does not add meaningful additional semantics beyond what is in the schema (e.g., for signature, it doesn't provide further guidance).

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 'Create a new SAS Business Rules rule set', using a specific verb and resource. It distinguishes from siblings like create_business_rule by noting that an empty ruleset needs to be populated with rules.

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 advises to follow up with create_business_rule to populate the ruleset, giving a clear context for subsequent actions. However, it does not explicitly state when to use this tool versus alternatives like update_business_ruleset or when not to use it.

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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