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Flowsery

flowsery

Official

List Websites

list_websites
Read-only

List websites accessible with the current API token, returning their IDs, domains, timezones, currencies, and KPI goals. Use this as the first step to obtain a websiteId for other tools.

Instructions

List the websites the current API token can read, with id, domain, timezone, currency, and KPI goal per site. A workspace token (flow_ws_) returns every website in the workspace; a website key (flow_) returns only its own. Call this first with a workspace token: every other tool then needs websiteId or domain from this list, and omitting both fails with 'Website ID or domain is required'. Takes no parameters. Use get_metadata instead when you already know the website and only need its settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoObject with status and data: one entry per website with id, domain, timezone, currency, kpi, logo, and trackingId. Use id as websiteId or domain as domain in other tools.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.1
    • changedOutput schema / properties / result / description
      Previous value: -"List of websites the token can access, with identifiers and domains for use in other tools."New value: +"Object with status and data: one entry per website with id, domain, timezone, currency, kpi, logo, and trackingId. Use id as websiteId or domain as domain in other tools."
  2. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint and non-destructive. The description adds valuable context about token-scope behavior (workspace vs website key) and the error condition when neither websiteId nor domain is provided, going beyond the annotations.

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 yet comprehensive, with no wasted words. It is well-structured, presenting purpose, usage, and error behavior in a logical flow.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Provides all necessary context: what it lists, token scope implications, how it fits into the workflow, and the alternative tool. The error message is also specified, making the tool's behavior fully predictable.

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 tool has no parameters and the schema is empty, so there is nothing to explain. The baseline of 3 applies as the description cannot add parameter semantics.

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?

Clearly states the verb 'List' and resource 'websites the current API token can read'. Also distinguishes from the sibling tool get_metadata, making it easy to select the right tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly instructs to call this first with a workspace token, and states that other tools require websiteId or domain from this list. Also provides an alternative: use get_metadata when the website is already known.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.