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Nice-Wolf-Studio

DataBento MCP Server

reference_get_corporate_actions

Fetch corporate actions like dividends and stock splits for symbols from a dataset, with optional date range and action type filters.

Instructions

Get corporate actions (dividends, splits, etc.) for symbols

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetYesDataset code (e.g., XNAS.ITCH)
symbolsYesComma-separated list of symbols
start_dateYesStart date (YYYY-MM-DD)
end_dateNoOptional end date (YYYY-MM-DD)
action_typesNoFilter by action types (e.g., ['dividend', 'split'])

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the tool 'gets' corporate actions, but does not disclose behavioral traits such as authentication needs, rate limits, mutability, or return format. Significant gaps in transparency.

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 a single short sentence, concise and front-loaded. However, it could be expanded slightly to include more helpful details without becoming verbose.

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 5 parameters and no output schema, the description is incomplete. It does not explain output structure, date formats, or the need for a dataset code, leaving an agent without sufficient context to use the tool 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 coverage is 100% with each parameter having a description. The description adds some context by listing examples (dividends, splits) that align with the action_types parameter, but does not add meaning beyond what the schema already provides.

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 'Get corporate actions (dividends, splits, etc.) for symbols'. It specifies the resource (corporate actions) and provides examples, making the purpose apparent. However, it could be more distinctive from sibling tools like 'reference_get_adjustments' by highlighting unique aspects.

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 (e.g., reference_get_adjustments, timeseries_get_range). There are no indications of prerequisites, contexts, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.