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massive-com

Polygon-io MCP Server

Official

list_short_volume

Retrieve short volume data for stocks on Polygon-io MCP Server by specifying ticker, date range, limit, and sorting options for accurate analysis.

Instructions

Retrieve short volume data for stocks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
date_gtNo
date_gteNo
date_ltNo
date_lteNo
limitNo
orderNo
paramsNo
sortNo
tickerNo
Behavior1/5

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 states what the tool does ('retrieve'), without mentioning any behavioral traits like read-only status, potential rate limits, authentication needs, or what happens with invalid inputs. This leaves significant gaps for an AI agent.

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 with a single sentence, 'Retrieve short volume data for stocks.', which is front-loaded and wastes no words. It efficiently communicates the core purpose without unnecessary elaboration.

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 (10 parameters, 0% schema coverage, no annotations, no output schema), the description is severely incomplete. It doesn't cover parameter meanings, usage context, behavioral aspects, or output details, making it inadequate for effective tool selection and invocation.

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

Parameters1/5

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

The schema description coverage is 0%, and the description provides no information about the 10 parameters (e.g., 'date', 'ticker', 'limit'). It doesn't explain what these parameters mean, how they affect the retrieval, or their expected formats, failing to compensate for the lack of schema descriptions.

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 states the tool 'Retrieve short volume data for stocks', which clearly indicates the action (retrieve) and resource (short volume data for stocks). However, it doesn't differentiate from sibling tools like 'list_short_interest' or 'list_aggs', leaving the purpose somewhat vague in context.

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 (e.g., 'list_short_interest', 'list_aggs'), there's no indication of when this specific tool is appropriate, such as for historical short volume versus other metrics.

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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