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JavaScript
Remote

reddit_comments

Fetch a Reddit post's public comments by ID, optionally including sorting, depth, limit, and engagement metrics.

Instructions

Get Reddit post comments. Returns a Reddit post with its public comments. The default mode is 1 credit. Set include_metrics=true to return the comments with public net score and award count plus post engagement metrics for 3 credits. Large threads may expose only an initial comment subset. Reddit does not expose per-comment upvote ratios or exact upvote/downvote totals anonymously. A post that exists but has no comments yet returns a 200 response with an empty comments list; a post that does not exist returns 404, and a temporary block or upstream failure returns 503 (retryable) rather than 404. If source.type is redlib, public fields and credit weights are preserved.

Input Schema

NameRequiredDescriptionDefault
idYesReddit post id or t3_ id
sortNoComment order: confidence, top, new, controversial, old, or qa. Applied to the anonymous HTML request when metrics are enabled.
depthNoMaximum flat comment depth returned in metrics mode.
limitNoMaximum comments returned, defaults to 25 and clamps to 100
include_metricsNoInclude public post and per-comment engagement metrics; costs 3 credits instead of 1

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.17.5
    • addedInput schema / properties / sort / enum
      Added value: +[
+  "confidence",
+  "top",
+  "new",
+  "controversial",
+  "old",
+  "qa"
+]
  2. Changed3 schema fields changed
    • changedInput schema / properties / depth / description
      Previous value: -"Accepted for compatibility. Public comment data is flat and may ignore depth."New value: +"Maximum flat comment depth returned in metrics mode."
    • addedInput schema / properties / include_metrics
      Added value: +{
+  "description": "Include public post and per-comment engagement metrics; costs 3 credits instead of 1",
+  "type": "boolean"
+}
    • changedInput schema / properties / sort / description
      Previous value: -"Accepted for compatibility: confidence, top, new, controversial, old, or qa. Public comment data is flat and may ignore sort."New value: +"Comment order: confidence, top, new, controversial, old, or qa. Applied to the anonymous HTML request when metrics are enabled."
  3. Changed1 schema field changedv1.5.0
    • removedInput schema / properties / with_scores
      Removed value: -{
-  "description": "When true, source comment scores and nested replies from old.reddit HTML rather than the default (slower)",
-  "type": "boolean"
-}
  4. Changed1 schema field changedv1.2.0
    • addedInput schema / properties / with_scores
      Added value: +{
+  "description": "When true, source comment scores and nested replies from old.reddit HTML rather than the default (slower)",
+  "type": "boolean"
+}
  5. First observedv1.0.0

TDQS

A3.9/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so richly: it distinguishes 1-credit default vs 3-credit metrics mode, notes that large threads may return only an initial comment subset, states Reddit does not expose per-comment upvote ratios or exact vote totals anonymously, and documents 200/404/503 behavior with retryability. It also covers the redlib source type preserving public fields and credit weights.

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 front-loaded with the core operation and credit modes, then adds important caveats and error semantics. It is somewhat long, but most sentences earn their place for a tool with no annotations and no output schema; only the initial two sentences are slightly redundant.

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 5-parameter tool with no annotations and no output schema, the description is fairly complete: it covers credit costs, metrics mode, data limitations, large-thread behavior, and key HTTP response cases. It stops short of describing the returned comment structure or pagination beyond limit, but schema fields cover the inputs well.

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 the schema already documents id, sort, depth, limit, and include_metrics. The description adds credit-cost context for include_metrics and metrics contents, but largely repeats what the schema already provides and does not add syntax or deeper meaning for sort, depth, or limit.

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?

States a specific verb and resource: 'Get Reddit post comments' and 'Returns a Reddit post with its public comments.' It does not explicitly distinguish itself from sibling tools like reddit_post, reddit_subreddit_comments, or reddit_user_comments, but the required post id parameter makes the intended resource clear.

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 description explains the default 1-credit mode and the include_metrics=true alternative for 3 credits, which guides use of one parameter well. However, it gives no explicit guidance on when to use reddit_comments versus sibling comment or post retrieval tools.

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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