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calvernaz

Alpha Vantage MCP Server

by calvernaz

insider_transactions

Retrieve insider transaction data for specific stocks to analyze corporate insider buying and selling activities for investment research.

Instructions

Fetch insider transactions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
Behavior1/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Fetch' implies a read operation, but the description doesn't specify data source, update frequency, rate limits, authentication needs, or return format. For a financial data tool with zero annotation coverage, this is a significant gap in transparency.

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 extremely concise at just two words, with zero wasted language. It's front-loaded with the essential action and resource, though this brevity comes at the cost of completeness.

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

Completeness1/5

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

Given the complexity of financial data tools, no annotations, no output schema, and low parameter documentation, the description is completely inadequate. It doesn't address what data is returned, formatting, time ranges, or how this tool fits within the broader financial data ecosystem represented by the many sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage for the single parameter 'symbol', and the description provides no additional parameter information. It doesn't explain what 'symbol' represents (e.g., stock ticker format like 'AAPL'), valid values, or how it affects the fetched transactions. With low schema coverage, the description fails to compensate.

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

Purpose3/5

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

The description 'Fetch insider transactions' clearly states the action (fetch) and resource (insider transactions), providing basic purpose. However, it doesn't specify what constitutes 'insider transactions' (e.g., stock trades by executives) or distinguish this tool from potential siblings like 'company_overview' or 'balance_sheet' that might contain related financial data.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools for financial data (like company_dividends, earnings_calendar, stock_quote), there's no indication of whether this tool is for real-time data, historical analysis, or regulatory filings, nor any prerequisites or exclusions mentioned.

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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