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DokiTab Clinical MCP Server

evaluate_diagnostic_panic_threshold

Evaluate Nigerian MLSCN / LOINC laboratory critical panic thresholds (Serum Potassium K+, Hemoglobin Hb, Platelets, Blood Glucose, Malaria Parasitaemia) and return reference ranges, panic escalation rules, and DokiTab LIMS/PACS capabilities.

Input Schema

NameRequiredDescriptionDefault
test_codeYesDiagnostic laboratory investigation identifier.
measured_valueYesMeasured numeric laboratory value in standard SI units.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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 behavioral burden. It discloses that the tool returns reference ranges, panic escalation rules, and DokiTab LIMS/PACS capabilities, and the verb 'evaluate' implies a read-only calculation, but it does not explicitly state that it is non-mutating or describe any side effects or permissions.

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 a single front-loaded sentence with no filler. The closing phrase about DokiTab LIMS/PACS capabilities is broader than the threshold-evaluation purpose and slightly dilutes focus, but overall it is efficient.

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?

For a two-parameter evaluation tool with no output schema, the description is largely complete: it names the tests covered, states the evaluation purpose, and explains the kinds of results returned. It could be stronger by clarifying that the operation is a pure calculation and by describing the output structure, but nothing essential is missing.

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 already documents both parameters and the enum values. The description adds a mapping from enum tokens to clinical test names such as Serum Potassium K+ and Hemoglobin Hb, but it does not add unit semantics or per-test interpretation beyond what the schema provides.

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?

States a specific verb and resource: evaluate Nigerian MLSCN/LOINC laboratory critical panic thresholds. It also names the covered tests and the return categories, so an agent can tell exactly what this tool does and that it is unrelated to sibling tools like calculate_nhia_copay or lookup_nigeria_state_shis.

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?

Usage is implied by the input schema: provide a test_code and measured_value to evaluate a panic threshold. However, the description gives no explicit when-to-use or when-not-to-use guidance, no alternatives, and no stated prerequisites.

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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