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databar-ai

Databar MCP Server

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by databar-ai

get_param_choices

Fetch paginated selectable choices for enrichment parameters with remote options. Supports search to filter results by id or name.

Instructions

Get available choices for a select/mselect enrichment parameter. Supports search and pagination. Use this when get_enrichment_details shows a parameter with choices.mode = "remote". For inline choices, the values are already included in get_enrichment_details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enrichment_idYesThe enrichment ID
param_nameYesThe parameter name (slug)
qNoOptional search query to filter choices by id or name
pageNoPage number (default: 1)
limitNoItems per page (default: 100, max: 500)
Behavior3/5

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

With no annotations provided, the description bears the full burden of behavioral disclosure. It mentions search and pagination but does not state that the operation is read-only, safe, or any potential side effects. More context (e.g., no modifications, dependencies) would improve transparency.

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?

Two concise sentences that front-load the purpose and usage. No redundant or unnecessary information. Every sentence adds value.

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?

For a tool with 5 parameters, no output schema, and no annotations, the description covers the key context (remote vs inline, search, pagination). It could be more complete by briefly describing the return format (e.g., list of choices with id and name), but it is sufficiently informative for an agent.

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%, so the schema already explains each parameter. The description adds 'supports search and pagination' which hints at q, page, limit, but this is not new meaning beyond the schema descriptions. 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 tool's purpose: 'Get available choices for a select/mselect enrichment parameter.' It also mentions support for search and pagination, which distinguishes it from related tools like get_enrichment_details.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool: 'Use this when get_enrichment_details shows a parameter with choices.mode = "remote".' It also tells when not to use it: 'For inline choices, the values are already included in get_enrichment_details.'

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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