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reddit_scraper

Reddit Community & Sentiment Scraper: Trigger: Call this tool when an agent needs authentic community discussions, sentiment analysis, product feedback, or user complaints from Reddit. Input: 'subreddit' (string subreddit name), 'limit' (integer post count, default 20). Output: structured posts with titles, authors, upvotes, and comment counts. (x402 M2M Cost: 0.005 USDC on Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoInput parameter for limit (e.g. 20)
subredditNoInput parameter for subreddit (e.g. "artificial")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does add real behavioral context — the output shape and the x402 M2M cost of 0.005 USDC on Base, which signals payment is required. However, it omits rate limits, pagination, auth prerequisites, and error behavior for an external scraping endpoint, leaving meaningful gaps.

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 Trigger/Input/Output/Cost labelling is front-loaded and scannable, with no filler sentences. It is slightly formulaic in its templated phrasing, but every clause conveys actionable information.

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?

With no output schema, the description correctly enumerates the returned fields, and it discloses the payment cost. For a simple two-parameter read tool this is close to sufficient; only the mechanics of the x402 payment and any retry/auth expectations are left unexplained.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value beyond the schema by specifying that 'limit' defaults to 20 (the schema only gives 'e.g. 20') and by clarifying that 'subreddit' is a subreddit name, which is more precise than the generic schema text.

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 names a specific resource (Reddit) and function (community & sentiment scraping), and details the artifacts returned (titles, authors, upvotes, comment counts). Among the many sibling scrapers, the Reddit scope makes it immediately distinguishable from instagram_scraper, tiktok_scraper, and linkedin_scraper.

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?

The 'Trigger' sentence gives explicit when-to-use conditions: community discussions, sentiment analysis, product feedback, user complaints. It does not name when to prefer a sibling (e.g., review_analyzer or google_search) or state exclusions, 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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