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DICOM/HL7/FHIR Interoperability MCP Server

explain_hl7_segment

Understand HL7 segment structure by explaining its purpose and listing all fields with positions, data types, optionality, table references, and descriptions for healthcare integration.

Instructions

Explain what an HL7 segment does and list all its fields with positions, data types, optionality, table references, and descriptions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
segment_nameYesHL7 segment identifier (e.g., 'PID', 'OBX', 'MSH', 'ORC').
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the return structure (fields with positions, data types, etc.) but omits safety characteristics (read-only vs. destructive), error handling for invalid segment names, or idempotency guarantees.

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?

Single dense sentence efficiently packs the purpose and detailed output specification. No filler words; every clause conveys essential information about the tool's function and return value structure.

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 absence of an output schema, the description adequately compensates by detailing the return value structure (positions, data types, optionality, etc.). However, it could be improved by mentioning error handling for unknown segment names or noting that this is a reference lookup operation.

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 coverage is 100% with the segment_name parameter fully documented in the schema. The description does not add additional parameter context (e.g., case sensitivity, valid character sets, or examples beyond those in the schema), meeting the baseline for high schema coverage.

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?

The description clearly states the tool explains HL7 segments and specifies the detailed output (fields, positions, data types, optionality, table references). This distinguishes it from sibling tools like parse_hl7_message or validate_hl7_message, though it doesn't explicitly name those alternatives.

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?

The description provides no guidance on when to use this tool versus alternatives like parse_hl7_message (for parsing instances) or lookup_hl7_table (for code lookups). It omits prerequisites or contextual triggers for selection.

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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