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Glama

list_oscal_models

List all available OSCAL model types with metadata, including descriptions, layers, formal and short names, and release status for compliance workflows.

Instructions

List all available OSCAL model types with metadata.

Returns: dict: List of OSCAL models where the key is model's name as used in the schema, and value is an object that includes description, layer, formal and short names, and release status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it discloses the return structure (key = schema model name, value = object with description/layer/names/release status), which is genuinely useful. However it says nothing about whether this reads live content versus returning a static registry, or any side-effect/permission profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the purpose in one sentence, followed by a compact Returns block. No filler or repetition, though the docstring-style listing is slightly heavier than needed for a no-argument listing tool.

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?

No output schema exists, and the description compensates by describing the returned dict shape and its fields, which is the main thing an agent needs. It is complete for a trivial no-arg lister, with only the live-vs-static question left open.

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 takes zero parameters, so the baseline is 4. There are no parameter semantics to clarify and nothing is missing on this dimension.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'List all available OSCAL model types with metadata.' The phrase 'model types' implicitly distinguishes this from siblings that list instances (list_catalogs, list_profiles, list_ssps), but the description never explicitly names that distinction, so it stops short of a 5.

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 when-to-use guidance, no exclusions, and no alternatives named. An agent cannot tell from the text whether this is a discovery aid preceding get_oscal_schema or query_catalog, or an end in itself. Usage is only inferable from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.