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reset_session

Destructive

Clear accumulated SAS session state by deleting all WORK data sets while preserving librefs and the connection. Use to remove intermediate tables that cause confusion.

Instructions

Delete every data set in WORK to clear accumulated state. Librefs and the connection itself are preserved. Use when earlier intermediate tables are causing confusion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the destructive nature is known. The description adds valuable behavioral detail beyond the annotation: it specifies that librefs and the connection are preserved, and clarifies the exact scope (only WORK datasets). This extra context helps the agent understand side effects.

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?

Two concise sentences, with the action and scope front-loaded. Every word earns its place: the operation, what is preserved, and the rationale for use. No redundancy or filler.

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 zero-parameter destructive tool, the description covers purpose, scope, preservation behavior, and when to use it. The output schema exists, so no need to explain return values. The description is complete for an agent to call it correctly.

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?

The tool has zero parameters, so the baseline is 4. The description adds no parameter-specific information, but none is needed. Schema coverage is trivially 100% since there are no parameters.

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 (delete every data set in WORK) and the resource (WORK library), plus the purpose (clear accumulated state). It is distinct from sibling tools like run_sas or session_status, leaving no ambiguity about what the tool does.

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?

Explicitly gives a use case: 'Use when earlier intermediate tables are causing confusion.' This provides clear context for when to invoke the tool. It does not mention alternatives or when not to use, but the guidance is sufficient for an agent to decide appropriately.

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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