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DouxProcess: find a licensed insurance agency

Find a licensed insurance agency

find_agencies
Read-only

Find licensed insurance agencies that write a line of insurance (general liability, workers' comp, commercial auto, bonds, property, home, auto, life, health and more) in a US state, for someone who wants an insurance quote. Returns every matching agency in the DouxProcess network, best match first, with license number, lines, states, phone, hours and online quote link, so the person can choose one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lineYesLine of insurance.
stateYesTwo-letter US state.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds genuine behavioral context: results come from the 'DouxProcess network', are sorted 'best match first', and include license number, lines, states, phone, hours and quote link.

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?

Front-loaded with the verb and core filtering dimensions. It is a single dense sentence; the parenthetical line enumeration duplicates the schema enum and slightly bloats it, but overall it earns its 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?

There is no output schema, so the description correctly compensates by listing the returned fields and the sort order, which is exactly what an agent needs to decide the call is worthwhile. Minor gaps around pagination or result-count limits, but overall sufficient for a two-parameter read tool.

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 both parameters (line enum, two-letter state) are self-documenting. The description repeats example line values already present in the enum and adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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 ('Find') and resource ('licensed insurance agencies') with clear scoping to a line of insurance and a US state. The purpose is immediately distinguishable from query-oriented siblings like search_servers or request_quote.

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 context 'for someone who wants an insurance quote' implies the intended scenario, but there is no explicit when-to-use guidance and no differentiation from the sibling request_quote, which is a natural alternative for the same user goal. Usage is inferable but not spelled out.

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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