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get_wsb_discussion

Get raw Reddit comments from the r/wallstreetbets daily discussion thread, top-level comments newest first. Returns one comment per line in a compact threaded format, with 2-space indentation for each reply level; a comment's own line breaks show as ' / '. Each line starts with [S ↩N]: S is the comment's Reddit score (upvotes), refreshed about every 30 minutes for each thread's ~500 best-scored comments (the header gives the time; the newest comments have had little time to collect votes), and ↩N means N replies so far (all levels, omitted when none). Threads whose scores were never refreshed (before 2026-10-25) have no vote counts: their lines show only [↩N]. Bot commands, comments scored 0 or below, and short comments nobody replied to or upvoted are filtered out. Useful for directly analyzing retail investor sentiment, popular tickers, and trading ideas.

Input Schema

NameRequiredDescriptionDefault
dateNoSpecific date to get comments for (format: YYYY-MM-DD). Omit for latest available discussion.
limitNoMaximum number of comments to return (1-1500). Default: 500

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly: it explains the output format, score refresh cadence, what happens to old threads without vote counts, filtering rules for bot comments and low/zero-score comments, and how replies are represented. This is unusually rich behavioral disclosure beyond what the schema provides.

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 purpose and output format, and the dense scoring/filtering details are relevant for interpreting results. It is somewhat long, but most sentences earn their place given the complexity of the return format.

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

Completeness5/5

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

There is no output schema and no annotations, yet the description explains return values, line format, score semantics, threading, filtering behavior, and usage context in enough detail for an agent to call and interpret results correctly. Missing auth or rate-limit details are minor and not evident as required for this public data tool.

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 both parameters are already documented in the schema. The description does not add syntax, format, or edge-case detail specifically about `date` or `limit`; baseline 3 is appropriate when the schema does the heavy lifting.

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 states a specific verb and resource: getting raw Reddit comments from the r/wallstreetbets daily discussion thread, with top-level comments newest first. It implicitly distinguishes itself from analysis-oriented siblings by emphasizing raw comments, but it never names or directly contrasts with `get_wsb_analysis` or other siblings.

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 final sentence gives implied usage context (retail sentiment, popular tickers, trading ideas) but does not state when to use this tool versus alternatives or when not to use it. No explicit routing to siblings is provided.

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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