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find_buyer_threads

Free GTM demo: give it a product website URL and Thread Otter crawls the site, works out who its buyers are, and mines recent Reddit threads where those buyers are asking for something like it. Returns a report link; results are ready in ~2-3 minutes via get_demo_report. Limited to 2 runs per day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoOptional: the user's email if they'd like a follow-up with their full results. Ask before providing; leave out otherwise.
website_urlYesThe product's website URL, e.g. https://example.com

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden. It transparently discloses the multi-step process (crawl, buyer identification, Reddit mining), the async nature (results ready in ~2-3 minutes via get_demo_report), and a rate limit (2 runs/day). This is comprehensive for a demo tool, covering both behavior and constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, each earning its place: the first explains the core function, the second covers output and timing, and the third states the limitation. No fluff, front-loaded with the most important context (free GTM demo) and easy to parse.

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?

Despite having no output schema, the description explains what the return looks like (report link) and how to get results (via get_demo_report). It also conveys the tool's role within a broader workflow (GTM demo) and mentions the rate limit, making it complete for the tool's complexity and context.

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?

The input schema has 100% coverage for both parameters (website_url and email), with clear descriptions. The tool description reinforces the website_url role ('give it a product website URL') but does not add substantial new semantics beyond the schema. Baseline 3 is appropriate given the high schema coverage and marginal added value.

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 clearly states the tool's function: provide a product website URL, Thread Otter crawls the site, identifies buyer personas, and mines relevant Reddit threads. It uses specific verbs ('crawls', 'mines') and the resource (Reddit threads, website URL), which distinguishes it from sibling tools like get_demo_report (retrieval) and reddit_demand_board (likely similar but not same workflow).

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 description frames this as a 'free GTM demo' and gives a clear workflow: call this tool, then use get_demo_report after 2-3 minutes. It also notes the 2-runs-per-day limit, which sets usage expectations. However, it doesn't explicitly contrast with alternatives like reddit_demand_board or subreddit_rules, so it falls just short of full guidance.

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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TDQS

A3.9/5.0
Disambiguation2/5

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.

Naming Consistency3/5

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.

Tool Count5/5

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.

Completeness4/5

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.

Resources