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phields

Unusual Whales MCP Server

by phields

get_darkpool_ticker

Retrieve dark pool trade data for a specific stock ticker to analyze off-exchange market activity. Filter by date, trade size, volume, and premium parameters for targeted market intelligence.

Instructions

Get darkpool trades for a specific ticker

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesTicker symbol
dateNoDate filter (YYYY-MM-DD)
newer_thanNoNewer than timestamp
older_thanNoOlder than timestamp
min_premiumNoMinimum premium
max_premiumNoMaximum premium
min_sizeNoMinimum size
max_sizeNoMaximum size
min_volumeNoMinimum volume
max_volumeNoMaximum volume
limitNoNumber of results to return
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. It states it 'gets' data, implying a read-only operation, but doesn't disclose behavioral traits like rate limits, authentication requirements, pagination (though 'limit' parameter hints at it), error handling, or data freshness. This is inadequate for a tool with 11 parameters.

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, efficient sentence with zero wasted words. It's front-loaded with the core purpose, making it easy to parse quickly.

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 complexity (11 parameters, no annotations, no output schema), the description is incomplete. It lacks behavioral context (e.g., what the tool returns, any side effects), doesn't explain relationships with sibling tools, and provides no usage guidance. This leaves significant gaps for an agent to understand how to use it effectively.

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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional parameter semantics beyond implying ticker filtering, which is covered by the required 'ticker' parameter. Baseline 3 is appropriate when schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the verb ('Get') and resource ('darkpool trades for a specific ticker'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_darkpool_recent', which appears to be a related darkpool tool without ticker specificity.

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?

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't mention how it differs from 'get_darkpool_recent' (which might return recent darkpool trades without ticker filtering) or other data retrieval tools in the sibling list.

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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