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get_castable_info

Retrieve metadata for a CAS table in SAS Viya, including row count, column count, and size, to assess data characteristics.

Instructions

Get metadata for a CAS table (row count, column count, size, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
server_idYesCAS server name or ID.
table_nameYesName of the table.
caslib_nameYesName of the caslib.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description must convey behavioral context. 'Get' implies a read-only operation, and the metadata examples add useful context, but it does not explicitly state safety, permissions, or side effects. This is adequate for a simple read tool but not richer than necessary.

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 a single, front-loaded sentence that conveys the purpose with examples. Every word earns its place with no redundancy or fluff.

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?

The presence of an output schema covers return structure, and the description adequately scopes the tool to table metadata. The lack of annotations is mitigated by the simple read-only nature, though it could mention prerequisites like table existence, but that is not necessary for completeness.

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 has 100% description coverage, so the schema already explains each parameter. The description adds no additional parameter-level meaning beyond naming the resource, meeting the baseline without providing extra value.

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 tool fetches metadata for a CAS table, listing examples like row count and column count. It is distinct from siblings such as get_castable_columns (column-specific) and get_castable_data (data retrieval).

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

Usage Guidelines3/5

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

The description implies usage when you need table-level metadata, but it does not explicitly state when to use this over alternatives or provide any exclusion criteria. No direct alternatives or when-not-to-use guidance is given.

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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