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sec_insider

SEC Form 4 insider trading for one US stock ticker — every insider buy/sell/grant/gift in the window (name, role, date, code, shares, price, shares owned after, filing URL) plus open-market buy vs sell totals. Source: SEC EDGAR. Facts only — this is not investment advice, a price target, or a buy/sell/hold signal. Costs $0.01 per call, paid from clink's shop credits (get a key with buy_credits or at /buy/credits). A failed or empty call is free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo1-365, default 90
limitNo1-25, default 25
tickerYese.g. AAPL

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

No annotations exist, so the description carries the full transparency burden; it discloses that output is factual, not advice, and explains the $0.01 cost, the credits payment route, and that failed/empty calls are free. It does not mention rate limits or response volume, but for a read-only data pull these are adequately 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?

The description is moderately long but every sentence contributes: scope, field list, source, disclaimer, cost, failure policy. It front-loads the core purpose and keeps caveats after the main 'what it does' statement.

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?

For a read-only data tool with 3 parameters and no output schema, this description is complete: it names the returned fields, the cost model, the credit requirement, and the free-on-failure behavior. It does not define filing code meanings or date formats, but that is minor.

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%, and the description adds only the field list implied by the tool, not new detail on days/limit semantics. The ticker example matches the schema description. With the schema already documenting the parameters, a baseline 3 is appropriate.

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?

States the specific resource: SEC Form 4 insider trading for one US stock ticker, enumerating the delivered fields. This differentiates it from sibling market tools like ticker_brief or pm_ticker_events without needing to open their schemas.

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

Usage Guidelines3/5

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

The description implies the use case (single US ticker, window-based insider filings) but never names alternatives or gives when-not-to-use guidance. It includes a useful disclaimer and cost, but not a routing rule like 'use pm_ticker_events for broad events'.

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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