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Re:amaze MCP by usefulapi

Update conversation

reamaze_update_conversation
Destructive

Update fields on an existing conversation (subject, status, tags, assignee). Only provided fields change. Re:amaze REST: PUT /conversations/{slug}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe conversation slug to update.
statusNoNew status. Status integer: 0=Open, 1=Responded, 2=Done, 3=Spam, 4=Archived, 5=On Hold, 6=Auto-Done, 7=AI Agent Assigned, 8=AI Agent Done, 9=Spam (AI).
subjectNoNew subject.
assigneeNoStaff email to assign the conversation to.
tag_listNoReplace the conversation's tags.
hold_untilNoISO8601 DateTime to hold the conversation until (used when status=5 On Hold).

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

A3.5/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, so the mutation risk is covered. The description adds the meaningful PATCH-style guarantee that unmentioned fields are preserved, but it omits what is irreversible (e.g., tag replacement behavior lives only in the schema) and any auth or concurrency caveats.

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?

Two short sentences, front-loaded with the operation and field scope, plus a compact REST endpoint hint. No filler, though the PUT path duplicates information an agent rarely needs for invocation.

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 destructive mutation with no output schema and full schema coverage, the description supplies the key semantic detail (partial update) and the endpoint mapping. It is adequate, though it could say more about irreversibility or permission needs to fully support safe invocation.

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%, so the enum mapping for status, ISO8601 format for hold_until, and replace semantics for tag_list are all documented in the schema itself. The description only repeats the field list (subject, status, tags, assignee) and even omits hold_until, adding no meaning beyond the schema. Baseline 3 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?

States a specific verb and resource ('Update fields on an existing conversation') and enumerates the mutable fields, so the agent knows exactly what operation this is. It does not explicitly contrast itself with siblings like reply_conversation or update_contact, but the resource and verb are distinct enough to disambiguate.

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?

'Only provided fields change' gives partial-update semantics, which implies this is the tool for edits rather than creation or replies. However, it names no alternatives and gives no conditions or prerequisites (e.g., permission or slug requirements) for choosing this over reamaze_reply_conversation.

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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