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databar-ai

Databar MCP Server

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by databar-ai

run_bulk_enrichment

Execute a data enrichment on multiple records at once. Provide an enrichment ID and an array of parameter objects, with optional pagination support.

Instructions

Execute an enrichment on multiple inputs at once. Provide an array of parameter objects. Subject to spending limits. For paginated enrichments, use the pages parameter to fetch multiple pages per record (each page per record is billed separately).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enrichment_idYesThe ID of the enrichment to run
params_listYesArray of parameter objects, one per record
pagesNoNumber of pages to fetch per record for paginated enrichments (default: 1, max: 100). Each page per record is billed separately.
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses spending limits and billing for pages, but does not specify whether the operation is atomic, if errors are per-record, or if it's read/write. Adequate but not rich.

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?

Three sentences, no filler, front-loaded with purpose. Every sentence adds information. Efficient and clear.

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

Completeness3/5

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

Covers main use cases and billing, but lacks return value description (no output schema) and error handling for bulk operations. Acceptable for a simple tool, but could be more complete.

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?

Schema coverage is 100%, baseline 3. Description adds value by explaining that params_list is an array of parameter objects and that pages parameter is for paginated enrichments with billing context. Adds beyond schema.

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?

Clearly states 'Execute an enrichment on multiple inputs at once', specifying the verb (execute), resource (enrichment), and scope (multiple inputs). This distinguishes it from siblings like run_enrichment (likely single input) and run_bulk_waterfall.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides guidance on how to use: 'Provide an array of parameter objects' and for paginated enrichments use the pages parameter. Mentions spending limits. Does not explicitly contrast with alternatives, but context is sufficient.

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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