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wshobson

MaverickMCP

screening_get_maverick_bear_stocks

Retrieve stocks with weak momentum, bearish patterns, and high bear scores to identify potential bearish candidates.

Instructions

Get top Maverick Bear stocks from the screening results.

DISCLAIMER: Bearish screening results are for educational purposes only. This is not advice to sell short or make bearish trades. Short selling involves unlimited risk potential. Always consult financial professionals before trading.

The Maverick Bear screening identifies stocks with:

  • Weak momentum strength

  • Bearish technical patterns

  • Distribution characteristics

  • High bear scores

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of stocks to return (default: 20)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries full burden. It clearly identifies this as a read operation ('Get') and explains the screening criteria. The disclaimer notes educational purpose, but lacks details on data freshness or potential limitations.

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 front-loaded with the core purpose. The disclaimer and criteria explanation add some length but are relevant. Could be slightly more concise by condensing the disclaimer.

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?

Given that an output schema exists, the description does not need to explain return values. It adequately explains the nature of the stocks returned and includes a mandatory disclaimer. Missing details on result ordering or data freshness are minor gaps.

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 no additional meaning beyond the schema. The 'limit' parameter is already described in the schema, so the description provides no new semantic value.

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 tool name and description clearly state it retrieves 'top Maverick Bear stocks' from screening results. This distinguishes it from siblings like 'screening_get_maverick_stocks' (bullish) and other screening tools.

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 does not provide any guidance on when to use this tool versus alternative screening tools. It only explains the screening criteria without specifying preferred contexts or exclusions.

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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