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David-IABB

InsurTech MCP Server

by David-IABB

compare_insurance_policies

Compare two insurance policies side by side to evaluate price, coverage, and exclusions. Identify the policy that aligns with your priorities and requirements.

Instructions

Compare multiple insurance policies and identify best value

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focus_areasNoList of areas to focus on (price, coverage, exclusions, etc.)
policy_a_textYesFull text of policy A
policy_b_textYesFull text of policy B
insurance_typeNoType of insurance (auto, home, health, etc.)auto

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only says it compares and identifies 'best value' without explaining how that determination is made, what limitations exist, or what the user should expect regarding input handling or output semantics. This is a significant gap for a tool with no annotation support.

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 a single, front-loaded sentence that states the core purpose concisely. No wasted words or redundant information; it earns its place and is easily scannable.

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?

For a comparison tool with an output schema, the description covers the essential purpose but lacks context on selection criteria and behavioral details. The presence of sibling tools and no annotations increases the need for richer description, which is only partially met. Overall, it is minimally adequate but leaves gaps in usage guidance and method transparency.

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?

The input schema has 100% description coverage for all four parameters, so the schema already explains each parameter clearly. The description adds no additional parameter-level meaning, but the schema's coverage justifies a baseline score of 3.

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 specifies a verb ('Compare'), a resource ('insurance policies'), and an outcome ('identify best value'). It is distinct from sibling tools like analyze_policy_clauses, which focuses on detailed clause analysis, and assess_insurance_risk, which assesses risk.

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 core action of comparing policies, but there is no explicit guidance on when to choose this tool over alternatives. For example, it does not mention that analyze_policy_clauses should be used for clause-level analysis, or that assess_insurance_risk is for risk assessment. The description provides no exclusions or alternative recommendations.

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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