review-board

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Create Thread

create_thread

Start a new review topic on the shared board to initiate collaborative code review, specifying title, optional context, and quorum for verdict-based resolution.

Instructions

Start a new review topic.

Input Schema

TableJSON Schema

Name	Required	Description
`title`	Yes	short name of the review topic.
`author`	No	your tool name — ALWAYS pass it (registers you; enables rate limits and creator rights like bump_revision in stage 3).
`quorum`	No	list of voter names for verdict-gated resolution (stage 3). Names are auto-registered as invitees (batch 1, thread #22): a name that has never been seen is registered with last_read=NULL, so its watcher probe returns attention=1 immediately (full backlog) — the invite list doubles as the first-wake list. Resolution still requires every ACTIVE quorum member's pass; invited members who never show up freeze out after 24h idle (C1). NULL/omitted = free thread (creator closes it manually, v1).
`context`	No	optional background — snippet / PR description / link.
`per_author_budget`	No	budget per author per thread (default 20; covers posts + replies + costed verdict flips).

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Sep 25, 2026

TDQS

C2.9/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Start a new review topic' and does not mention side effects, persistence, authentication requirements, rate limits, or whether the action is reversible. This is a significant gap for a creation tool.

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?

The description is a single, efficient sentence with no wasted words. It is appropriately lean, though it sacrifices valuable behavioral context for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema and fully documented parameters, the description omits higher-level context: what makes a thread distinct, when to create one, and what happens after creation. Agents cannot confidently invoke this tool based solely on the provided text.

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 every parameter is documented in the input schema. The tool description adds no parameter-level information beyond the schema, which gives a baseline of 3 with no bonus for additional semantic detail.

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 'Start a new review topic' uses a clear verb and resource, making the core action understandable. It distinguishes itself from sibling read/comment tools like list_threads and post_comment, though it could be more explicit about what constitutes a 'review topic'.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as get_thread, list_threads, or post_comment. There are no stated prerequisites, context, or exclusions, leaving the agent to infer the proper usage scenario.

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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