Free weekly board of what people keep asking for across 40 startup, marketing, sales, dev, and ecommerce subreddits: recurring pains, missing tools, and paying-shaped demand with real thread links. Call with no arguments for the cross-community leaderboard, or pass a community for its full breakdown.
| Name | Required | Description | Default |
|---|---|---|---|
| community | No | Optional subreddit name (e.g. "startups" or "r/SaaS") for a per-community breakdown. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses it's free, weekly, and includes real thread links, which gives some behavioral context. However, it doesn't mention output format, pagination, auth, or any side effects, leaving gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with high information density, front-loading the core purpose and usage. No fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the tool's output content, update frequency, and calling patterns (with/without arguments). Since there's no output schema, it conveys return value adequately, though it could enumerate the 40 subreddits for extra clarity. Overall sufficient for a simple read tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already fully documents the 'community' parameter with examples. The description's 'pass a community for its full breakdown' adds no new semantic value beyond the schema, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as a weekly demand board across specified subreddits, listing content types (recurring pains, missing tools, paying demand) and thread links. It differentiates from siblings by emphasizing cross-community aggregation and optional per-community breakdown.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicit instructions: 'Call with no arguments for the cross-community leaderboard, or pass a community for its full breakdown' provides clear when-to-use context. No alternatives are mentioned, so not a full 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool serves a clearly distinct function: find_buyer_threads starts a search, get_demo_report retrieves results, reddit_demand_board shows trends, subreddit_rules provides policy info, and get_started offers guidance. The related pair of find/get is complementary rather than overlapping, so an agent would not mix them up.
Tool names follow a loose verb_noun pattern for find_buyer_threads, get_demo_report, and get_started, but reddit_demand_board and subreddit_rules are noun phrases. This mixed style is readable but not fully consistent with a single convention.
With 5 tools, the server is well-scoped for its purpose of Reddit demand research and community vetting. Each tool covers a distinct aspect without unnecessary bloat, making it easy for an agent to navigate.
The tool set covers the full workflow: initiating a buyer-thread search, fetching the report, exploring broader demand trends, checking subreddit rules, and getting started. No critical operations are missing for the advertised functionality.