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openmarkets

openmarkets

by danchev
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_options_volume_analysis

Retrieve options volume analysis for a stock by ticker and optional expiration date to evaluate trading activity.

Instructions

Retrieve options volume analysis for a given ticker and expiration date.

Args: ticker (str): The symbol of the security. expiration_date (str | None, optional): The expiration date as a string. If None, uses the nearest expiration.

Returns: dict: Volume analysis data.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "ticker": "<ticker>"
    },
    "name": "get_options_volume_analysis"
  }
}

Input Schema

NameRequiredDescriptionDefault
tickerYes
expiration_dateNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

The description lacks annotations, so it must compensate. It does not disclose read-only nature, authentication needs, or error handling. However, it does explain the default behavior for 'expiration_date' (uses nearest if None), which adds some behavioral context.

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: a single sentence for purpose, followed by clear parameter docs. Every sentence serves a purpose, and the key information is front-loaded.

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 lack of output schema, the description should provide more detail about the return value. It only says 'dict: Volume analysis data', leaving the agent unclear on what keys to expect (e.g., volume, open interest). Additionally, it does not specify if it applies only to options or all securities.

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

Parameters4/5

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

The schema has 0% description coverage, so the description must add meaning. It explains that 'ticker' is the symbol and 'expiration_date' is optional with default behavior. This is helpful, though it could specify the date format (e.g., YYYY-MM-DD) for completeness.

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 retrieves options volume analysis for a given ticker and expiration date. It uses a specific verb ('retrieve') and resource ('options volume analysis'), distinguishing it from sibling tools like 'get_option_chain' or 'get_options_skew'.

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. It does not mention when not to use it or suggest any related tools for different needs. The agent must infer from the name alone.

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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