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AiAgentKarl

agent-insurance-mcp-server

insurance_analytics

Analyze insurance system health with volume trends, top agents, risk distribution, dispute rates, quality scores, and status breakdown. Monitor agent economy trends.

Instructions

Get detailed analytics about the insurance system.

Shows volume trends, top agents by volume, risk distribution, dispute rates, quality scores, and status breakdown. Useful for monitoring system health and agent economy trends.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 burden. It implies read-only behavior with 'Get', but does not explicitly state lack of side effects, permissions, rate limits, or data freshness. The description lists what is shown but not the output format, which is important given no output schema.

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 concise (four sentences) and front-loaded with the core purpose. Each sentence adds information without redundancy.

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?

Given zero parameters and no output schema, the description lacks details on the return format (e.g., JSON structure). While it lists content, agents may struggle to parse the result without explicit output schema. Additional details on data representation would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so baseline is 4. The description adds value by enumerating the types of analytics returned, which compensates for the empty schema and helps the agent understand what the tool 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?

The description clearly states the tool's purpose: 'Get detailed analytics about the insurance system.' It enumerates specific analytics provided (volume trends, top agents, risk distribution, etc.), distinguishing it from sibling tools that perform specific actions like creating escrows or processing claims.

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 usage context: 'Useful for monitoring system health and agent economy trends.' However, it does not explicitly state when not to use this tool or suggest alternatives, which would improve guidance.

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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