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David-IABB

InsurTech MCP Server

by David-IABB

analyze_policy_clauses

Analyze insurance policy text to extract key clauses and identify critical terms. Optionally specify jurisdiction and insurance type for tailored legal interpretation.

Instructions

Analyze insurance policy clauses and identify key terms

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
policy_textYesFull text of the insurance policy
jurisdictionNoLegal jurisdiction (belgium, france, germany, etc.)belgium
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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only restates the purpose and does not reveal additional traits such as whether the tool is read-only, what specific outputs are generated, or any side effects. Minimal behavioral insight is offered beyond the name.

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, efficient sentence that immediately communicates the tool's function. No unnecessary words or repetition, making it well-structured and appropriately sized.

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?

The presence of a fully described schema and an output schema reduces the need for explanation of parameters and return values. However, the description lacks usage guidelines and behavioral context, which are important given the existence of sibling tools. The tool is simple enough that this is a minor gap, but not a complete picture.

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 schema fully describes all three parameters (100% coverage), so the baseline is 3. The description adds no additional parameter semantics, but since the schema already provides complete meaning for each parameter, this is not a drawback.

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 uses a specific verb ('Analyze') with a clear resource ('insurance policy clauses') and a defined outcome ('identify key terms'). It clearly differentiates from sibling tools like assess_insurance_risk and compare_insurance_policies, which target different aspects of insurance processing.

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?

No guidance is provided on when to use this tool versus the alternatives. The description lacks any mention of use cases, exclusions, or complementary relationships with sibling tools, leaving the agent to rely solely on the tool name.

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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