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Moderate Comments & Viral Auto-Plug

comments_moderate
Idempotent

List, reply to, hide, or delete public comments on published social posts, or configure an automated viral Auto-Plug reply (auto_plug) that triggers when a post crosses a specified like threshold. Use this tool to engage commenters, remove spam on X/LinkedIn/Instagram/YouTube, or automatically plug a newsletter or product URL underneath high-performing posts. Returns moderation execution status or the active Auto-Plug rule configuration.

Input Schema

NameRequiredDescriptionDefault
actionYesComment moderation action: 'list' comments on a post, 'reply' publicly to a comment, 'hide' or 'delete' spam/abusive comments, or 'auto_plug' to attach an automatic threshold-triggered reply.
postIdNoTarget social post identifier (`post_...`) whose comments are being listed, moderated, or configured for Auto-Plug.
commentIdNoSpecific comment identifier (`cmt_...`) when replying to, hiding, or deleting an individual comment.
profileIdNoBrand profile identifier (`prof_...`) that owns the social post and comments.prof_allometrik
replyTextNoPublic reply message text when `action` is 'reply'.
autoPlugMessageNoCall-to-action comment text (e.g. link to docs, newsletter, or product page) automatically posted once the post reaches `autoPlugTriggerLikes`.
autoPlugTriggerLikesNoLike count threshold (e.g. 25 or 50 likes) that triggers Nuntior to automatically publish `autoPlugMessage` as a follow-up comment.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed9 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / action / description
      Added value: +"Comment moderation action: 'list' comments on a post, 'reply' publicly to a comment, 'hide' or 'delete' spam/abusive comments, or 'auto_plug' to attach an automatic threshold-triggered reply."
    • addedInput schema / properties / autoPlugMessage / description
      Added value: +"Call-to-action comment text (e.g. link to docs, newsletter, or product page) automatically posted once the post reaches `autoPlugTriggerLikes`."
    • addedInput schema / properties / autoPlugTriggerLikes / description
      Added value: +"Like count threshold (e.g. 25 or 50 likes) that triggers Nuntior to automatically publish `autoPlugMessage` as a follow-up comment."
    • addedInput schema / properties / commentId / description
      Added value: +"Specific comment identifier (`cmt_...`) when replying to, hiding, or deleting an individual comment."
    • addedInput schema / properties / postId / description
      Added value: +"Target social post identifier (`post_...`) whose comments are being listed, moderated, or configured for Auto-Plug."
    • addedInput schema / properties / profileId / default
      Added value: +"prof_allometrik"
    • addedInput schema / properties / profileId / description
      Added value: +"Brand profile identifier (`prof_...`) that owns the social post and comments."
    • addedInput schema / properties / replyText / description
      Added value: +"Public reply message text when `action` is 'reply'."
  2. First observed

TDQS

A3.7/5.0
Behavior2/5

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

The description adds real behavioral context (a threshold-triggered automatic follow-up comment, supported platforms, returned status/config), but it explicitly offers a 'delete' action while annotations declare destructiveHint=false, a meaningful mismatch for an agent deciding whether the call can remove data. The tension is never resolved (soft-hide vs permanent removal), so the behavioral picture is muddied rather than clarified.

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?

Front-loaded with the action set before the usage and return-value sentences; two sentences carry the whole load with no filler. It is dense but every clause maps to a distinct capability or outcome.

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?

Return information is disclosed ('moderation execution status or the active Auto-Plug rule configuration'), which matters since there is no output schema, and all seven parameters are schema-documented. What's missing is the per-action dependency logic (which of postId/commentId/replyText are required for each action), which an agent must guess.

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% and each parameter already carries enum values, formats (`post_...`, `cmt_...`), and defaults, so the schema does the heavy lifting. The description adds no syntax or conditional guidance beyond what the schema provides, so the baseline 3 applies.

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 specific verbs (list, reply, hide, delete, configure) against a concrete resource (public comments on published social posts) and names the conditional Auto-Plug behavior. An agent can distinguish this from siblings such as inbox_messages or posts_manage without opening the schema.

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?

Gives clear use cases ('engage commenters', 'remove spam on X/LinkedIn/Instagram/YouTube', 'plug a newsletter or product URL underneath high-performing posts'), which frames the when-to-use context well. It does not state when NOT to use it or explicitly route to alternatives (e.g. inbox_messages for DMs vs comments), so it stops short of a 5.

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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