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jamesrosing

tebra-mcp-server

by jamesrosing

tebra_check_insurance_eligibility

Check insurance eligibility for a Tebra patient by examining active policies and authorization history from on-file data.

Instructions

Check insurance eligibility for a Tebra patient. Examines active insurance policies and authorization history. Note: this is an approximation based on on-file data, not a real-time payer eligibility check.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patientIdYesTebra patient ID
Behavior4/5

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

With no annotations, the description discloses key behavioral traits: the result is an approximation based on on-file data, not real-time. It doesn't explicitly state if it modifies data (implied read-only).

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?

Two concise sentences with front-loaded action and no extraneous words.

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?

The description explains the tool's purpose and limitation but does not specify the return format or output, which would be helpful given no output schema.

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% (parameter described as 'Tebra patient ID'), so the description adds no new semantic meaning beyond restating the tool's scope.

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 the tool checks insurance eligibility for a Tebra patient, uses a specific verb and resource, and distinguishes itself by noting it examines active policies and authorization history.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit context by noting it is an approximation and not a real-time payer check, guiding the agent on when to use it vs. alternatives.

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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