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gov_edgar-insider

Normalized insider transactions (Form 4) with flow aggregates for a ticker. SEC Form 4 filings parsed into clean insider transactions: buy/sell/award classification, 10b5-1 plan flags, per-filer roles, and aggregate net flow with notable-pattern flags. Use it to gauge insider conviction before events. [HTTP: GET /v1/edgar/insider/:ticker · price $0.02 via x402 · docs https://x402-factory.com/docs/gov.edgar-insider]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYesLookback window in days
tickerYes
min_value_usdNoDrop transactions below this absolute USD value

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries the burden and largely does so: it discloses the data provenance (parsed SEC Form 4 filings), the derived fields (buy/sell/award classification, 10b5-1 flags, per-filer roles, net flow), and a genuine operational trait — the endpoint is paid ($0.02 via x402) and accessed over HTTP GET. Rate limits and freshness/latency are not covered.

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?

Front-loaded with purpose, then return-field detail, then usage, then bracketed transport/pricing metadata. Dense but each sentence carries information; the bracket line is compact and useful rather than padding.

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

Completeness4/5

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

With no output schema and no annotations, the description compensates well by enumerating the returned content (classification, plan flags, roles, aggregate flow, notable-pattern flags), so an agent knows what comes back. It is slightly incomplete on the ticker parameter's constraints and pagination/error behavior.

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 67%; days and min_value_usd are documented in the schema, while ticker has none. The description mentions "for a ticker" but adds no syntax, format, or filtering semantics beyond what the schema already states, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: normalized SEC Form 4 insider transactions with flow aggregates for a ticker. The domain (insider buying/selling) is inherently distinct from the gov_edgar siblings like 13f-diff and events, though no sibling is named explicitly to clinch the differentiation.

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?

"Use it to gauge insider conviction before events" gives a clear use case and timing context. There are no explicit exclusions or named alternatives (e.g., 13F for institutional flow), which keeps it below a 5.

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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