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re-amaze

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. 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 genuine value beyond that by clarifying that unspecified fields are preserved (no full-overwrite blast radius), but it does not mention permission requirements, whether history/audit is affected, or that tag_list replaces rather than appends.

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 tight sentences plus an endpoint reference; the mutation semantics are front-loaded before the API detail. Nothing is padding, though the trailing REST path adds little for an agent that already has the tool bound.

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 mostly flat, 6-parameter mutation tool with full schema coverage and no output schema, the description covers purpose, partial-update behavior, and the underlying endpoint. Only the tag replacement semantics and hold_until linkage are left solely to the schema.

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%, including the status integer legend and the hold_until dependency on status=5, so the baseline is 3. The description's field list largely restates schema names, and it omits hold_until and calls the parameter "tags" when the schema names it "tag_list".

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 (Update) and resource (existing conversation) plus the mutable field groups (subject, status, tags, assignee), which cleanly separates it from reamaze_create_conversation and reamaze_reply_conversation. It does not name those siblings, so an agent must infer the boundary rather than being told it.

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" usefully signals partial-update semantics, which is the main selection question for an update tool. There is no explicit guidance on when to prefer this over reamaze_reply_conversation or reamaze_create_conversation, and no prerequisites or exclusions are stated.

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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