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ThalesMMS

simple-dicom-mcp

by ThalesMMS

get_attribute_presets

Retrieve predefined attribute presets for DICOM queries, showing which attributes are available at each query level (patient, study, series, instance).

Instructions

Get all available attribute presets for DICOM queries.

This tool returns the defined attribute presets that can be used with the query_* functions. It shows which DICOM attributes are included in each preset (none, custom) for each query level.

Returns: Dictionary organized by query level (patient, study, series, instance), with each level containing the attribute presets and their associated DICOM attributes.

Example: { "patient": [ "PatientID", "PatientBirthDate", "PatientSex", "PatientAge", ], "study": [ "StudyInstanceUID", "PatientID", "AccessionNumber", "StudyDescription", "PatientBirthDate", "PatientSex", "PatientAge", "StudyDate", "RequestedProcedureDescription", "RequestedProcedureCodeSequence", ], "series": [ "SeriesInstanceUID", "StudyInstanceUID", "Modality", "SeriesDescription", "BodyPartExamined", "ProtocolName", "RequestAttributesSequence", ], "instance": [ "SOPInstanceUID", "SeriesInstanceUID", ], ... }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description bears full burden. It explains return structure (dictionary by query level) and provides an example. It is clear it is a read-only operation, though no permissions or side effects are noted.

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 concise, front-loaded, and includes a useful example. Every sentence adds value with no redundancy.

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

Completeness5/5

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

Given zero parameters and presence of output schema, the description fully covers the tool's behavior. The example output completes the understanding.

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 has 0 parameters, so baseline is 4. No additional parameter info needed.

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 'Get all available attribute presets for DICOM queries.' It specifies the exact resource and action, and distinguishes from sibling tools which focus on actual queries or node management.

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 for preparing queries but does not explicitly state when to use vs alternatives or provide exclusions. It mentions 'can be used with the query_* functions' but no direct contrast.

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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