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sassoftware

SAS MCP Server

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by sassoftware

get_castable_data

Retrieve rows with column names from a CAS table by providing server, caslib, and table identifiers. Optionally set row limit and offset.

Instructions

Fetch rows from a CAS table with column names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
server_idYesCAS server name or ID.
caslib_nameYesName of the caslib.
table_nameYesName of the table.
limitNoMaximum rows to return (default 100).
startNoRow offset (default 0).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits (e.g., read-only, performance, pagination handling) beyond the basic fetch 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?

Single concise sentence, front-loaded with key action and resource; no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although an output schema exists, the description fails to mention the pagination parameters (limit, start) or clarify the relationship to sibling tools; more context is needed for a complete understanding.

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 baseline is 3; the description adds no extra meaning beyond what the schema already provides for 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 uses specific verb 'Fetch rows' and names the resource 'CAS table with column names', clearly distinguishing from sibling tools like get_castable_columns and list_castables.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as get_castable_info or list_castables; missing context about prerequisites or exclusions.

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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