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Re:amaze MCP by usefulapi

List channels

reamaze_list_channels
Read-only

List channels (inboxes: email, chat, social, etc.). Channel slugs are used as category filters. Re:amaze REST: GET /channels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number to fetch (responses report page_size/page_count/total_count).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

readOnlyHint=true already declares this is a safe read, so the description only needs to add scope or constraints. It adds the underlying REST endpoint (GET /channels) and the cross-tool fact that returned slugs feed `category` filters, but says nothing about pagination behavior, result ordering, or volume of results. Modest added value over 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?

Three compact clauses, zero filler, and the core purpose is front-loaded before the supplementary slug note and endpoint reference. Nothing could be cut without losing information.

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 simple read-only list tool with no output schema, the description covers what the resource is, how results are consumed downstream, and the endpoint. It could go slightly further on pagination expectations given there is no output schema, but an agent has enough to call it correctly.

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?

Only one parameter (`page`) and schema coverage is 100%, so the schema already documents it fully with page_size/page_count/total_count semantics. The description adds no parameter detail. Baseline 3 for a fully-documented single-param schema.

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?

Specific verb+resource ('List channels') with a clarifying gloss that channels are inboxes (email, chat, social), which removes ambiguity about what a 'channel' is. It also names the sibling relation implicitly (get_channel handles a single one). It stops short of explicitly contrasting with reamaze_get_channel, so not a full 5.

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?

Usage is implied rather than stated: the tool lists channels, so you call it when you need channel enumeration. The note that slugs are used as `category` filters gives a downstream reason to call it, which is genuinely useful context, but there is no explicit when-to-use/when-not or named alternative.

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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