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cstamigo-droid

equity-intel-mcp

equity_insider_activity

Read-onlyIdempotent

Measures net insider buying and selling from SEC Form 4 filings, returning a directional score from -100 to +100 to gauge insider sentiment for any stock.

Instructions

Measure net insider buying vs. selling from SEC Form 4 filings (last 180 days).

Aggregates open-market Purchase (P) and Sale (S) transactions by USD value and returns a directional score from -100 (heavy net selling) to +100 (heavy net buying). Insider buying is among the more predictive public signals. If a company has no qualifying Form 4 activity, returns "no signal" rather than a fabricated score.

Requires the EDGAR_IDENTITY env var (any 'Name email@example.com') per SEC fair-access policy.

Args: params: ticker (str) and response_format ('markdown'|'json').

Returns: str: Markdown or JSON with score, confidence, and data: net_usd, buys_usd, sells_usd, n_filings, net_selling, window_days.

Examples: - "Are insiders buying Tesla?" -> ticker='TSLA' - "Insider sentiment for PLTR" -> ticker='PLTR'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Discloses aggregation of P and S transactions, directional score range -100 to +100, env var requirement, and 'no signal' case. Annotations already indicate read-only, idempotent, non-destructive; description adds valuable behavioral context without contradiction.

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?

Well-structured with clear sections. Each sentence is informative, though slightly verbose. Could be tightened but overall effective.

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?

Covers the score calculation, edge case (no signal), env var requirement, and return format. Combined with schema and output schema, provides complete guidance 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?

Input schema already provides detailed descriptions for 'ticker' and 'response_format' (100% coverage). The description merely restates parameter names and types, adding no additional semantic value beyond the schema.

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?

Clearly states the tool measures net insider buying vs selling from SEC Form 4 filings over 180 days. The verb 'measure' and resource 'SEC Form 4 filings' are specific, and the scope distinguishes it from sibling tools like equity_analyst_consensus.

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?

Provides context that insider buying is a predictive signal and specifies behavior when no data ('no signal'). However, it does not explicitly compare to alternative tools or state when not to use.

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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