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list_registered_models

Retrieve registered models from the SAS Model Repository. Specify a limit to control the number of models returned.

Instructions

List models in the Model Repository.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum models to return (default 50).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, the description discloses read-only behavior via 'List' and scopes to the Model Repository. However, it omits details like pagination behavior or whether the repository is context-sensitive, leaving some behavioral ambiguity.

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?

A single, front-loaded sentence that clearly states the tool's purpose without waste. Appropriate for a simple list operation.

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

Completeness3/5

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

The description is adequate for a simple tool with an output schema, but it does not address overlap with sibling list_models_and_decisions, leaving potential selection ambiguity for an agent.

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 description coverage is 100%, so the schema fully documents the 'limit' parameter. The description adds no additional parameter semantics, yielding the baseline score.

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?

Clear verb 'List' with specific resource 'models' and location 'Model Repository'. It distinguishes from siblings like list_ml_projects (projects) and list_models_and_decisions (models and decisions).

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 over alternatives. Does not mention exclusions or context for choosing between list_registered_models and list_models_and_decisions.

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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