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Nice-Wolf-Studio

DataBento MCP Server

metadata_list_fields

Retrieve field names, types, and descriptions for any DataBento schema such as trades or mbp-1.

Instructions

List fields available for a specific schema with their types and descriptions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaYesSchema name (e.g., trades, mbp-1, ohlcv-1d)
encodingNoOptional encoding type (e.g., json, csv, dbn)
Behavior3/5

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

No annotations are present, so the description bears full burden. It truthfully implies a read-only operation but does not disclose potential errors, authentication needs, or other behavioral traits.

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 concise sentence (12 words) that clearly conveys the tool's purpose without any superfluous details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description includes useful info about the return (types and descriptions). It is adequate for a simple list tool, though no pagination or error details are provided.

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 schema covers both parameters with descriptions, achieving 100% coverage. The description adds no extra meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 verb 'List' and the resource 'fields available for a specific schema'. It distinguishes itself from sibling tools like metadata_list_datasets and metadata_list_schemas by focusing on fields within a schema.

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, nor any prerequisites or contrasted with other list tools.

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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