Stockfacts

Insider trading screens

get_insider_lists

Read-onlyIdempotent

Ready-made insider trading screens, the same lists as livermore.club/en/insiders: cluster-buys (companies where 3 or more different insiders bought on the open market in the last 30 days, ranked by total value; returned in companies), ceo-cfo-buys (CEO or CFO open-market purchases of $25,000 or more in 30 days, newest first), top-buys-week and top-buys-month (largest open-market purchases filed in the last 7 or 30 days), top-sells-week and top-sells-month (largest open-market sales). Windows count back from now by SEC filing time. Non-derivative transactions only; rows flagged as price outliers, duplicate filings (the same trade reported again in a later filing) and issuers without a ticker are excluded. Trade rows have the same fields as get_insider_trades. Amounts in USD. At most 200 rows.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "list": "<list>"
    },
    "name": "get_insider_lists"
  }
}

Input Schema

Name	Required	Description	Default
`list`	Yes	cluster-buys, ceo-cfo-buys, top-buys-week, top-buys-month, top-sells-week or top-sells-month.
`limit`	No	Maximum rows to return (1-200, default 25).

Output Schema

Name	Required	Description	Default
`url`	Yes
`list`	Yes
`title`	Yes
`trades`	Yes
`companies`	Yes
`definition`	Yes
`window_days`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedSep 27, 2026

TDQS

A4.7/5.0

Behavior5/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive), but the description adds substantial behavioral context: non-derivative transactions only, exclusion of outlier rows, duplicate filings and issuers without tickers, SEC filing-time windows, USD amounts, and a 200-row cap. This is well beyond what the structured annotations provide.

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 dense but front-loaded: it opens with the overall purpose, then defines each list, then covers exclusions, shared fields, currency, and row limits. Every sentence carries specific information, and none appears to be filler.

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?

For a read-only screen-listing tool with a full output schema and strong annotations, the description provides everything needed: list semantics, filtering rules, data currency, row limit, and field compatibility with get_insider_trades. Return-value details are appropriately left to the output schema.

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 the schema already documents both parameters, making the baseline 3. The description meaningfully adds to the `list` parameter by defining each enum value's exact criteria and ranking, though it adds little beyond the schema for `limit` aside from restating the 200-row maximum.

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 (insider trading screens) and enumerates all six ready-made lists with their ranking criteria. It also distinguishes itself from the sibling get_insider_trades by stating that trade rows share the same fields, so an agent can tell it apart without opening either schema.

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 clearly explains what each screen represents and when those lists are useful, e.g., cluster-buys means 3+ insiders bought in 30 days. However, it does not explicitly state when to prefer this tool over get_insider_trades or other siblings, nor does it name exclusions or alternatives.

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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