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Nice-Wolf-Studio

DataBento MCP Server

reference_get_adjustments

Retrieve price adjustment factors to calculate backadjusted prices for historical analysis.

Instructions

Get price adjustment factors for backadjusted prices

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)
Behavior2/5

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

With no annotations provided, the description bears full responsibility. It describes a read-like operation but does not explicitly state it is read-only, safe, or idempotent. No behavioral traits (e.g., cost, rate limits, side effects) are disclosed.

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, clear sentence with no filler. It is front-loaded and efficient, though slightly under-specified.

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 absence of an output schema and annotations, the description should provide more context about return data format, error conditions, or behavior for missing dates. The current text leaves significant 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?

The input schema has 100% coverage with descriptions for all parameters. The description adds no additional meaning beyond the schema, so it meets the baseline of 3.

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 action 'Get' and the resource 'price adjustment factors for backadjusted prices', making it distinct from sibling tools like reference_get_corporate_actions or timeseries_get_range. However, it could be more precise about the types of adjustments (e.g., dividends, splits).

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. There is no mention of scenarios, prerequisites, or typical use cases, leaving the agent to infer usage solely from the name.

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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