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DokiTab Clinical MCP Server

calculate_nhia_copay

Calculate Nigerian National Health Insurance Authority (NHIA) and State/Private HMO split-billing: 10% patient pharmacy co-payment vs 90% HMO coverage on Essential Medicines List items and Fee-For-Service (FFS) pre-authorization in Naira (₦).

Input Schema

NameRequiredDescriptionDefault
eml_drugs_nairaYesTotal tariff of NHIA Essential Medicines List (EML) drugs in Naira (₦) eligible for 90% HMO / 10% patient co-payment.
non_covered_nairaNoTotal out-of-pocket non-formulary or excluded items in Naira (₦) billed 100% to patient.
secondary_ffs_nairaNoTotal tariff of secondary Fee-For-Service (FFS) procedures or specialist investigations in Naira (₦).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It does disclose the underlying billing rule (90/10 split on EML, FFS secondary tariff), but omits how results are returned, whether co-payments are rounded or capped, and whether any authorization/plan rules affect the computation.

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?

A single front-loaded sentence that packs in domain, rule, and currency without filler. It is dense but every clause (NHIA, split percentages, EML, FFS, Naira) contributes information.

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

Completeness3/5

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

With no annotations and no output schema, the definition should hint at what the calculation returns (patient total, HMO portion, per-bucket breakdown). It explains the inputs' billing treatment but not the result shape, leaving an agent unsure what to expect back.

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% and each of the three parameters is already documented with full semantics (EML tariff, non-covered out-of-pocket, secondary FFS). The description adds the governing formula but no parameter-level detail beyond the schema, so the baseline 3 is appropriate.

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 (calculate) plus a precisely scoped resource (NHIA / State & Private HMO split-billing) and even names the core rule (10% patient vs 90% HMO on EML items, FFS pre-authorization, Naira). Nothing about the purpose is left ambiguous, and no sibling covers billing splits.

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 the usage context (NHIA/HMO split-billing on EML items and FFS), but never says explicitly when to call it versus alternatives or what preconditions apply. Since the sibling set contains no comparable billing tool, the missing routing guidance is a minor rather than critical gap.

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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