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Avantio MCP Server and API by Cotlet

Update rates in Avantio

avantio_update_rates
Read-onlyIdempotent

Update rates in the user's own Avantio account from ChatGPT, Claude or any AI agent. Returns how to do it in Avantio step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Avantio Cloud Browser. Avantio's official API: Avantio has official APIs, a PMS API, a Web API and an Accounting API, and no official MCP server (checked 31 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?

Annotations already declare readOnly, non-destructive, idempotent and not open-world; the description reinforces this with "opens nothing by itself" and, since there is no output schema, usefully describes what comes back (step-by-step screens, buttons, fields). The handoff requirement to a browser tool is behavioral context the annotations cannot convey.

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 useful middle (returns steps, opens nothing, use cotlet_browser_* afterwards) is clear, but the opening "from ChatGPT, Claude or any AI agent" and the closing paragraph about Avantio's official APIs and lack of an MCP server are marketing/meta content that does not help an agent decide or call correctly.

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 parameterless, read-only guide tool with no output schema, the description covers what is returned and what the caller must do next. Only the absence of any exclusions or failure handling keeps it from being fully complete.

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?

Zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. No misleading parameter hints are given.

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

Purpose3/5

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

The description eventually makes clear this tool returns step-by-step instructions (screens, buttons, fields) rather than performing the update, but the leading phrase "Update rates in the user's own Avantio account" and the tool name point at a mutation, so the agent must read the second sentence to learn the real behavior. The distinction from cotlet_browser_* is stated.

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?

It gives explicit sequencing: call this to get the procedure, then perform it with the cotlet_browser_* tools in the Avantio Cloud Browser. It stops short of stating when NOT to use it or when another avantio_* tool is a better fit.

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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