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AccuLynx MCP Server and API by Cotlet

List estimates in AccuLynx

acculynx_list_estimates
Read-onlyIdempotent

List estimates in the user's own AccuLynx account from ChatGPT, Claude or any AI agent. Returns how to do it in AccuLynx step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's AccuLynx Cloud Browser. AccuLynx's official API: Yes, but only with the AppConnections add-on: AccuLynx has a REST API (v2) for jobs, contacts, estimates, photos, job messages and payments, and an administrator creates the API key for each location (checked 11 Oct 2026).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

The description adds important behavior beyond the annotations: it returns step-by-step instructions and 'opens nothing by itself,' so the agent knows no mutation occurs and that browser tools must execute the action. This complements readOnlyHint/idempotentHint and clarifies the tool is informational, not an API proxy; it does not discuss output format details or rate limits, but for a zero-param guide tool that context is sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably short but not ideally front-loaded: it begins with 'List estimates,' which suggests a data operation before clarifying that it only returns instructions. The 'from ChatGPT, Claude or any AI agent' phrase and the extended AccuLynx API/add-on note are tangential to invoking this tool and could be trimmed.

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?

For a zero-parameter, no-output-schema guide tool, the description explains what is returned (step-by-step screens, buttons, fields), that nothing is opened, and which tools perform the actual action. It could better situate itself relative to cotlet_app_guide, but the core completeness is adequate.

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 no input parameters, so the schema carries no parameter semantics to explain. The description does not need to compensate for missing parameter documentation; baseline 4 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Returns how to do it in AccuLynx step by step') and resource (estimates in AccuLynx), so an agent can tell it is a how-to guide rather than a direct data-listing call. However, the opening 'List estimates...' framing is slightly misleading and it does not distinguish itself from the generic cotlet_app_guide sibling.

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?

It gives a next-step recommendation ('then do it with the cotlet_browser_* tools') and notes the official API requires the AppConnections add-on and admin key, which is relevant context. But it does not explicitly state when to choose this guide over cotlet_app_guide or the direct AccuLynx job/contact tools, so selection guidance is incomplete.

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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