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insider_buy_clusters

Identify stocks where three or more insiders made open-market purchases within 24-48 hours, signaling potential bullish activity. Excludes awards and gifts.

Instructions

Form 4 insider buy clusters (3+ insiders bought same ticker in 24-48h). Bullish signal. Filtered to open-market purchases (P code), excluding awards/gifts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
window_hoursNo
min_insidersNo

Implementation Reference

  • Tool dispatch for insider_buy_clusters: calls _api_get('/api/form4/clusters', args) — the actual handler is a simple HTTP GET to the backend API endpoint /api/form4/clusters.
    if name == "insider_buy_clusters":
        return _api_get("/api/form4/clusters", args)
  • Tool schema definition for insider_buy_clusters with inputSchema accepting window_hours (int, default 24) and min_insiders (int, default 3).
    {
        "name": "insider_buy_clusters",
        "description": "Form 4 insider buy clusters (3+ insiders bought same "
                       "ticker in 24-48h). Bullish signal. Filtered to "
                       "open-market purchases (P code), excluding awards/gifts.",
        "inputSchema": {
            "type": "object",
            "properties": {
                "window_hours": {"type": "integer", "default": 24},
                "min_insiders": {"type": "integer", "default": 3},
            },
        },
    },
  • TOOLS list (array of tool definitions) registered as the MCP tools/list response at line 231.
    TOOLS = [
        {
            "name": "top_yield_farms",
            "description": "Latest 24h top DeFi yield farm picks with realistic "
                           "APY (emissions stripped), risk notes, TVL, protocol. "
                           "Sourced from FalsifyLab daily aggregator.",
            "inputSchema": {
                "type": "object",
                "properties": {
                    "limit": {"type": "integer", "default": 10,
                               "description": "max results (1-50)"},
                    "min_apy": {"type": "number", "default": 0,
                                 "description": "filter floor in pct"},
                    "asset": {"type": "string",
                               "description": "filter by asset symbol (BTC, ETH, SOL, etc.)"},
                },
            },
        },
        {
            "name": "hl_vault_leaderboard",
            "description": "Hyperliquid vault leaderboard with NAV, 30d return, "
                           "max drawdown, follower count, composite score. "
                           "Real-time scrape of HL info API.",
            "inputSchema": {
                "type": "object",
                "properties": {
                    "limit": {"type": "integer", "default": 10},
                    "sort_by": {"type": "string",
                                  "enum": ["score", "tvl", "return_30d", "followers"],
                                  "default": "score"},
                },
            },
        },
        {
            "name": "insider_buy_clusters",
            "description": "Form 4 insider buy clusters (3+ insiders bought same "
                           "ticker in 24-48h). Bullish signal. Filtered to "
                           "open-market purchases (P code), excluding awards/gifts.",
            "inputSchema": {
                "type": "object",
                "properties": {
                    "window_hours": {"type": "integer", "default": 24},
                    "min_insiders": {"type": "integer", "default": 3},
                },
            },
        },
        {
            "name": "sec8k_material_today",
            "description": "Material SEC 8-K filings today filtered by item code: "
                           "2.02 (earnings), 5.02 (officer change), 2.01 (M&A), "
                           "3.02 (dilution), 4.02 (restatement), 3.01 (delisting).",
            "inputSchema": {
                "type": "object",
                "properties": {
                    "items": {"type": "array", "items": {"type": "string"},
                                "description": "item codes (e.g. ['2.02','5.02'])"},
                    "ticker": {"type": "string",
                                "description": "filter by ticker symbol"},
                },
            },
        },
        {
            "name": "macro_tape",
            "description": "Live US macro snapshot: SPX, NDX, RUT, VIX, UST 2y/10y, "
                           "DXY, GOLD, WTI, BTC, ETH. Last price + 1d/5d % change.",
            "inputSchema": {
                "type": "object",
                "properties": {
                    "symbols": {"type": "array", "items": {"type": "string"}},
                },
            },
        },
        {
            "name": "etf_flow_today",
            "description": "US-listed spot crypto ETF aggregate flows today. "
                           "BTC + ETH net flow, 5d streak, cumulative AUM. "
                           "Source: SoSoValue.",
            "inputSchema": {"type": "object", "properties": {}},
        },
        {
            "name": "active_airdrop_farms",
            "description": "Active airdrop / points-farming opportunities. "
                           "Detected from DefiLlama yield gaps (where reported "
                           "APY exceeds base+rewards = likely points program). "
                           "Includes realistic APY, TVL, capital required, "
                           "confidence score. Sourced from Suki defi_scanner.",
            "inputSchema": {
                "type": "object",
                "properties": {
                    "limit": {"type": "integer", "default": 10},
                    "min_apy": {"type": "number", "default": 0,
                                 "description": "filter floor pct (realistic APY)"},
                    "min_tvl_usd": {"type": "number", "default": 0,
                                      "description": "filter pools <X TVL"},
                    "chain": {"type": "string",
                                "description": "filter (ethereum, base, arbitrum, etc.)"},
                },
            },
        },
        {
            "name": "polymarket_whale_positions",
            "description": "Top Polymarket whale wallets and their current "
                           "active positions sized >$10k. Copy-trade reference.",
            "inputSchema": {
                "type": "object",
                "properties": {
                    "min_position_usd": {"type": "integer", "default": 10000},
                },
            },
        },
    ]
  • _api_get helper function that performs the actual HTTP GET request to the backend API with auth and error handling.
    def _api_get(path: str, params: dict | None = None) -> dict:
        if params:
            from urllib.parse import urlencode
            path = f"{path}?{urlencode(params)}"
        req = urllib.request.Request(
            f"{API_BASE}{path}",
            headers={
                "User-Agent": USER_AGENT,
                "Accept": "application/json",
                **({"Authorization": f"Bearer {API_KEY}"} if API_KEY else {}),
            },
        )
        try:
            with urllib.request.urlopen(req, timeout=20) as r:
                return json.loads(r.read())
        except urllib.error.HTTPError as e:
            body = e.read().decode(errors="ignore")[:400]
            return {"error": f"HTTP {e.code}: {body}"}
        except Exception as e:
            return {"error": str(e)[:200]}
Behavior3/5

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

With no annotations, the description bears full burden. It discloses key filters (P code, excluding awards/gifts) and time window, but does not explain if it returns historical data, requires authentication, or has rate limits. Adequate but 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.

Conciseness4/5

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

The description is concise at two sentences, front-loading the core purpose and key filter. It avoids waste but could structure the information more clearly.

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

Completeness3/5

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

Given the lack of annotations, output schema, and simple parameters, the description provides the essential idea and filter. However, it omits output format and any request/response details, leaving some gaps for agent usage.

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 0%, so the description must add meaning. It hints at parameters with '24-48h' and '3+ insiders', matching defaults, but does not explicitly describe the parameters' purpose, ranges, or constraints, leaving the schema largely unexplained.

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 identifies insider buy clusters (3+ insiders in 24-48h) from Form 4 filings, with filtering to open-market purchases. This verb-resource pair distinguishes it from sibling tools covering airdrops, ETFs, vaults, macro, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool versus its siblings. While 'Bullish signal' implies a use case, there is no mention of alternatives, prerequisites, or exclusions.

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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