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sassoftware

SAS MCP Server

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by sassoftware

delete_business_ruleset

Delete a SAS Business Rules rule set permanently. Use only after confirming it is not referenced by any decision flow, as deletion fails if still in use.

Instructions

Permanently delete a SAS Business Rules rule set.

Only call this once the rule set is confirmed unused by any decision flow — deleting a rule set still referenced by a decision fails.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ruleset_idYesThe rule set UUID to delete (not its name — list_business_rulesets returns both).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states the delete is permanent and irreversible, and it discloses the failure condition when the rule set is still referenced. This is strong for a destructive operation, though it could mention behavior for non-existent rule sets or other edge cases.

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 consists of two short sentences. The first delivers the core purpose, and the second provides a critical safety warning. There is no redundant or filler text, and the most important information is 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?

For a simple delete operation with a single well-documented parameter, the description covers essential context: what the tool does, when it is safe to invoke, and the failure mode. The presence of an output schema means return values do not need to be described further.

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?

The input schema already provides complete parameter documentation (100% coverage), including the distinction between ruleset UUID and name and pointing to list_business_rulesets. The description adds no additional parameter-level information, so a 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?

The description clearly states the action ('Permanently delete') and the specific resource ('a SAS Business Rules rule set'). It unambiguously distinguishes this from sibling CRUD operations like create_business_ruleset, update_business_ruleset, and list_business_rulesets.

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

Usage Guidelines5/5

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

The description provides explicit usage guidance: only call once the rule set is confirmed unused by any decision flow, and it warns that deleting a referenced rule set fails. This gives clear when-to-use and when-not-to-use context, even though it doesn't name an alternative tool.

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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