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sassoftware

SAS MCP Server

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by sassoftware

update_decision_flow

Update a SAS Intelligent Decisioning flow by submitting all rule set steps; the entire flow is replaced on update, not patched.

Instructions

Update an existing SAS Intelligent Decisioning flow.

Pass ALL rule set steps (existing + new) — the full flow is replaced on update, it is not a partial patch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDecision name (max 60 chars).
signatureYesFlow-level input/output variables.
decision_idYesThe existing decision flow UUID.
descriptionNoOptional description.
rule_set_stepsYesOrdered list of rule set steps (see ``create_decision_flow`` for the shape).

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 carries the full burden. It discloses the critical behavioral trait that it's a full replacement, not a partial patch. However, it omits other potential behaviors like authorization needs or side effects, so it's adequate but not exhaustive.

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 two sentences, front-loaded with the verb and resource, and every sentence serves a purpose—no fluff. The key behavior is immediately clear.

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 the tool has 5 parameters with full schema coverage and an output schema, the description covers the essential behavioral nuance. It references create_decision_flow in the schema for step shapes, which is helpful. Could mention prerequisites or use cases, but overall it's complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, baseline 3. The description adds value by emphasizing that rule_set_steps must include all existing steps (not just new ones), which is not explicit in the schema. This enhances understanding beyond the schema's description.

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 'Update an existing SAS Intelligent Decisioning flow', using a specific verb and resource, and distinguishes from siblings like create_decision_flow and delete_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 Guidelines4/5

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

It provides clear context by noting that the full flow is replaced and that all rule set steps must be passed, guiding when to use. Does not explicitly state when not to use or alternatives, but the context is sufficient.

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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