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theodor90

form4api-mcp

get_signals

Read-only

Detect cluster buy/sell signals when insiders at one company trade in the same direction within a short window. Returns signal type, counts, total value, and underlying transactions.

Instructions

Cluster buy/sell signals — multiple insiders at the same company trading in the same direction within a short window, a stronger conviction signal than any single trade. Excludes 10b5-1 plan trades automatically by construction. Returns signal type, detection date, buyer/seller counts, total $ value, and the underlying transactions; pair with the generated explain_signal tool to see exactly why a given signal fired. Use get_transactions instead for raw, unaggregated trade search. Requires Business plan (a 402 upgrade_required response is returned otherwise). Paginated, max 50/page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number. Defaults to 1.
tickerNoFilter to a specific company ticker, case-insensitive, e.g. NVDA. Omit for a market-wide scan across all companies.
per_pageNoResults per page. Defaults to 20, maximum 50.
cluster_buyNoIf true, return only ClusterBuy signals (multiple insiders buying together). Omit both cluster_buy and cluster_sell to return signals of either type.
cluster_sellNoIf true, return only ClusterSell signals (multiple insiders selling together). Omit both cluster_buy and cluster_sell to return signals of either type.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • changedInput schema / properties / cluster_buy / description
      Previous value: -"Only return cluster buy signals"New value: +"If true, return only ClusterBuy signals (multiple insiders buying together). Omit both cluster_buy and cluster_sell to return signals of either type."
    • changedInput schema / properties / cluster_sell / description
      Previous value: -"Only return cluster sell signals"New value: +"If true, return only ClusterSell signals (multiple insiders selling together). Omit both cluster_buy and cluster_sell to return signals of either type."
    • changedInput schema / properties / page / description
      Previous value: -"Page number"New value: +"1-based page number. Defaults to 1."
    • changedInput schema / properties / per_page / description
      Previous value: -"Results per page (max 50)"New value: +"Results per page. Defaults to 20, maximum 50."
    • changedInput schema / properties / ticker / description
      Previous value: -"Filter to a specific company ticker"New value: +"Filter to a specific company ticker, case-insensitive, e.g. NVDA. Omit for a market-wide scan across all companies."
  2. First observedv1.0.0

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already indicate readOnlyHint and openWorldHint. The description adds critical behavioral context: exclusion of 10b5-1 plans, output composition, Business plan requirement (402 error), and pagination details. No contradictions with annotations.

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 a single paragraph with front-loaded purpose. Every sentence adds value, but it is slightly dense. Could be slightly more concise, but overall efficient.

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?

Given the tool has 5 parameters, no required ones, no output schema, the description fully explains the output structure (signal type, detection date, counts, total value, underlying transactions), pairing with explain_signal, and Business plan requirement. Complete for a read-only list tool.

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 coverage is 100%, so parameters are well-documented. The description does not add new parameter meaning beyond the schema. Baseline 3 is appropriate as the schema carries the semantic burden.

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 it returns 'Cluster buy/sell signals' and explains the concept of multiple insiders trading same direction. It distinguishes from get_transactions and pairs with explain_signal, making the purpose specific and differentiated from siblings.

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

Usage Guidelines5/5

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

The description explicitly tells when to use this tool (for cluster signals), explains what it excludes (10b5-1 trades), and recommends get_transactions for raw trades. It also mentions Business plan requirement and pagination, providing comprehensive usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.