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houtini-ai

Financial Modeling Prep MCP Server

by houtini-ai

get_insider_trading

Retrieve recent insider trading transactions for any stock using its ticker symbol, providing details on shares, prices, and filing dates.

Instructions

Get recent insider trading activity for a stock

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of transactions to return (default: 100)
symbolYesStock ticker symbol
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions 'recent' without defining the time window, doesn't specify whether the operation is read-only, and doesn't clarify return format or pagination. This is minimal disclosure for a tool with no annotation support.

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 a single, concise sentence that gets straight to the point. It is front-loaded with the action and contains no unnecessary words or filler.

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

Completeness2/5

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

Given the tool has no output schema and no annotations, the description is incomplete. It doesn't specify what 'activity' includes, the default time range for 'recent', or the structure of the returned data. The two parameters are documented, but the overall tool behavior and output are under-specified.

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?

The input schema covers both parameters with descriptions, achieving 100% coverage. The description adds no extra parameter semantics beyond confirming the stock context, so the baseline of 3 applies. No additional value is provided over 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?

The description clearly states the tool's function with a specific verb ('Get') and a specific resource ('recent insider trading activity'), scoped to a stock. This distinguishes it from sibling tools like get_technical_indicator_rsi, which focus on other data types.

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 tool is used when you need insider trading data for a stock, but it provides no explicit guidance on when to use it instead of alternatives, nor does it mention any exclusions. The context is clear enough to infer usage, but no alternatives or exclusions are stated.

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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