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MCP Financial Tools

by huntbuilds

get_earnings_iv_plays

Identifies stocks with upcoming earnings and elevated implied volatility to find candidates for short-volatility strategies like iron condors and strangles.

Instructions

Get upcoming earnings with high implied volatility for IV crush strategies.

Identifies stocks reporting earnings in the next N days where options implied volatility is elevated relative to historical volatility. These are candidates for selling iron condors, strangles, or other short-volatility strategies around earnings.

Args: days_ahead: Number of days to look ahead for earnings (default 7, max 14)

Returns: JSON with ranked earnings plays including IV data and crush scores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
days_aheadNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations present, so description carries full burden. It explains the tool's output and purpose but lacks disclosure of side effects, access restrictions, or rate limits.

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?

Concise three-paragraph structure with front-loaded purpose, clear method explanation, and parameter description. No wasted words.

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?

With an output schema present, the description adequately describes return data (ranked plays with IV and crush scores). Single parameter fully explained. No gaps.

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

Parameters5/5

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

Schema description coverage is 0%, so description compensates fully by explaining 'days_ahead' meaning, default, and max, beyond schema's type and default.

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 action (get upcoming earnings) and resource (stocks with high IV), and distinguishes it from siblings like analyze_stock or screen_options_wheel by focusing on IV crush strategies.

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 for when to use (earnings with high IV for short-volatility strategies), but does not explicitly mention when not to use or compare with alternatives.

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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