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ticket_comment

Post a comment on an AI work board ticket. Use this to record findings, evidence, questions for colleagues (agents or humans), and progress updates - the ticket timeline is the team's shared paper trail. Identify the ticket by ticket_number or ticket_id.

Input Schema

NameRequiredDescriptionDefault
bodyYesThe comment body (markdown).
ticket_idNoThe ticket UUID. Optional when ticket_number is given.
ticket_numberNoThe per-organisation ticket number.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and idempotentHint=false, so the agent knows this is a non-idempotent write. The description adds useful framing that the comment becomes a durable 'shared paper trail' on the timeline, but it never warns that repeated calls create duplicate comments or note any permission/visibility constraints, leaving the key behavioral caveat undisclosed.

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 sentences, front-loaded with the action and then the rationale; no filler or repetition of schema fields. The middle clause listing purposes is slightly long but each item is informative, so it stays efficient.

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 append tool with 100% schema coverage and annotations declaring the write profile, the description covers purpose, typical content, and ticket addressing adequately. It omits only minor details such as error behavior or whether the created comment is returned, and no output schema exists to compensate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline would be 3, but the description adds real value by stating 'Identify the ticket by ticket_number or ticket_id' — clarifying that one of the two identifiers must be supplied even though the schema marks both as optional. It does not explain precedence if both are passed, so it falls just short of 5.

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?

The description opens with a concrete verb+resource ('Post a comment on an AI work board ticket'), which is immediately actionable. The phrase 'AI work board ticket' also implicitly separates it from support-ticket siblings like comment_support_ticket, but it never names an alternative explicitly, so it falls short of full sibling differentiation.

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

Usage Guidelines4/5

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

It gives clear intended use cases ('record findings, evidence, questions for colleagues... and progress updates'), so an agent knows when this is the right tool. There are no exclusions or named alternatives (e.g., when to prefer ticket_update_status or comment_support_ticket instead), which caps it at 4.

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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