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devzspy

discourse-mcp-extended

by devzspy

List Reviewables

discourse_list_reviewables

List pending or flagged items in the Discourse review queue, with filters by status and type, returning reviewables, scores, and available moderation actions.

Instructions

List items in the review queue (as seen at /review), e.g. queued/pending posts and flagged posts. Returns JSON with reviewables array (id, type, status, score, created_at, topic_id, category_id, post_id, created_by, target_created_by, title, excerpt, version, actions) and meta (page, limit, has_more, total). The actions array lists valid action ids for discourse_perform_reviewable_action (e.g. approve_post, reject_post, agree_and_hide, disagree, delete).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (0-based, 10 items per page - Discourse's fixed page size)
typeNoFilter by reviewable type, e.g. ReviewableQueuedPost, ReviewableFlaggedPost, ReviewableUser
statusNoFilter by status (default: pending)
priorityNoMinimum priority filter
topic_idNo
sort_orderNoSort order (default: score, matching /review?sort_order=score)
category_idNo
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It describes the response structure and links to another tool but does not state whether the tool is read-only, requires authentication, has rate limits, or any side effects. The read-only nature is implied but not explicit.

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 efficient sentences that front-load the purpose and follow with response details and cross-tool references. Every sentence adds value without redundancy.

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

Completeness3/5

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

The description provides a good overview of the response and connections to another tool, but given 7 parameters and no annotations, it lacks complete guidance on parameter semantics and usage context. It is adequate but has clear gaps.

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

Parameters2/5

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

Schema coverage is 71% but the description adds no additional parameter information beyond what the schema already provides. Two parameters (topic_id, category_id) lack descriptions even in the schema, but the description does not fill that gap.

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?

The description clearly states the tool lists items in the review queue with concrete examples (queued/pending posts, flagged posts). It explicitly differentiates from sibling tools by focusing on reviewable items, which is distinct from topics or users.

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 on when to use this tool versus alternatives like discourse_filter_topics or discourse_search. The description does not provide context or exclusions for usage, leaving the agent without decision support.

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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