Free weekly comparison of buyer demand on Reddit BY CATEGORY (startups, marketing, sales, dev & AI, services, ecommerce): where demand ran hottest this week, with top themes and thread receipts per category. Call with no arguments for the comparison, or pass a category key for its detail.
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | Optional category key: startups | marketing | sales | dev-ai | services | ecommerce. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses what the tool returns ('top themes and thread receipts per category') and implies a read-only nature, but it does not mention data freshness, potential rate limits, or any side effects. Some context is added, but it's not comprehensive.
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?
The description is two sentences long, front-loaded with the core purpose, and efficiently conveys the categories and the two calling modes. No filler or redundant information.
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?
Given the tool's simplicity (1 optional parameter, no output schema), the description is complete: it explains the main output (comparison), the parameter behavior, and the per-category detail. It doesn't need to cover more for an agent to select and invoke it correctly.
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 describes the 'category' parameter with allowed values. The description adds value by explaining the effect of omitting the parameter (comparison view) versus providing it (detail view), which is not stated in the schema.
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 states the tool's purpose: 'weekly comparison of buyer demand on Reddit BY CATEGORY' with a specific verb and resource. It lists the categories and what it provides, but it does not explicitly distinguish it from sibling tools like 'reddit_demand_board', so it's not a perfect 5.
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?
The description gives clear usage instructions: 'Call with no arguments for the comparison, or pass a category key for its detail.' However, it does not provide guidance on when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites.
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.
Several tools (competitor_complaints, demand_radar, reddit_demand_board, find_buyer_threads) all mine Reddit threads for demand, complaints, or buyer interest, with overlapping purposes that could easily confuse an agent. The boundaries are unclear, especially between demand_radar and reddit_demand_board, which both offer weekly demand overviews.
All names use snake_case and are readable, but the pattern is mixed: some are verb-first (find_buyer_threads, get_demo_report, get_started) while others are noun-heavy phrases (competitor_complaints, reddit_demand_board, subreddit_rules). This inconsistency makes the set feel less predictable.
With 7 tools, the set is well-scoped for a focused Reddit market research server. Each tool serves a distinct function within the domain, and none feel redundant or excessive.
The tool set covers the core workflows: discovering demand, finding buyer threads, checking competitor complaints, and understanding community rules. Minor gaps include lack of direct keyword search or alerting, but agents can chain existing tools to achieve most goals.