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by awslabs

query_mapping_collection

Retrieve OSCAL mapping collections that define relationships between security control sets. Query by UUID, title, or type to find relevant mappings.

Instructions

Query OSCAL Mapping Collection documents.

Mapping Collections describe how one set of security controls relates to another set of controls.

Args: ctx: MCP server context (injected automatically). query_type: "all" (paginated), "by_uuid", "by_title", or "by_type". query_value: Required for by_uuid, by_title, by_type queries. offset: Zero-based pagination offset (default 0). limit: Maximum items to return, 1-100 (default 10).

Returns: Page_Response dict with keys: items, total, offset, limit, hasMore.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_typeNoall
query_valueNo
offsetNo
limitNo
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It states the return type (Page_Response) and describes pagination behavior. However, it does not disclose any potential side effects, auth requirements, or rate limits, which are valuable for a query operation.

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?

The description is well-structured with a brief introduction followed by a clear Args list. It is front-loaded with the purpose and uses concise language. Minor redundancy could be trimmed, but overall it is effective.

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?

Given the tool's complexity (4 parameters, no output schema), the description provides sufficient detail: explains the resource type, query modes, pagination, and return structure. It does not explicitly differentiate from siblings, but the context is adequate for basic usage.

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 input schema has 0% description coverage, so the description must compensate. It explains the meaning of 'query_type' enum values, clarifies that 'query_value' is required for specific types, and describes 'offset' and 'limit' with defaults and ranges. This adds significant value beyond the schema, though the exact format for 'query_value' (e.g., UUID format) is not specified.

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 it queries OSCAL Mapping Collection documents and explains what they are. The verb 'query' and resource 'Mapping Collection' are specific, and it distinguishes from the sibling 'list_mapping_collections' by offering different query types.

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 lists query types and their required parameters, giving context on when to use each type. However, it does not explicitly differentiate from the sibling 'list_mapping_collections', nor does it provide when-not-to-use guidance or alternative tools.

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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