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List a ticket's messages

deskpro_list_ticket_messages
Read-only

List the conversation on one ticket — every reply and agent note, with its author, date, is_agent_note flag and HTML body. Deskpro: GET /api/v2/tickets/{id}/messages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, starting at 1.
countNoResults per page, 1-200.
includeNoComma-separated related object types to side-load into the response's `linked` section, e.g. person,agent,department,organization.
ticket_idYesThe ticket's numeric id.

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

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description goes beyond that by disclosing the shape of the returned payload — replies and agent notes distinguished by an is_agent_note flag, each with author, date, and HTML body — which is real behavioral context. It omits pagination/ordering behavior, keeping it short of a 5.

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?

Two tight sentences: the payload description comes first, then the endpoint reference. Every clause carries information about scope or returned content; nothing is padded.

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?

With no output schema, the description usefully compensates by naming the returned fields, and the fully-described input schema carries all parameter detail. The main remaining gap is pagination/ordering guidance for a list endpoint, but overall it is sufficient to call the tool 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?

Schema description coverage is 100%, so page, count, include, and ticket_id are all documented in the schema itself. The description only implies ticket scoping and adds no syntax or format detail beyond the schema, which matches the baseline 3 for a fully-covered schema.

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?

States a specific verb (List) and resource (messages on one ticket) with explicit scope ('one ticket'), and enumerates what comes back (replies, agent notes, author, date, is_agent_note, HTML body). This clearly separates it from deskpro_get_ticket and deskpro_add_ticket_message without needing to open a schema.

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?

The word 'one ticket' and the required ticket_id imply you use this to read a single ticket's conversation, but there is no explicit statement of when to prefer it over deskpro_get_ticket or how it relates to deskpro_add_ticket_message. Usage is implied rather than spelled out.

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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