Skip to main content
Glama

cdp_get_column_validator

Retrieve a specific column validator by ID from the CDP MCP Server to verify data structure and integrity in customer data platform operations.

Instructions

Get a specific column validator by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
validator_idYes
tenant_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It implies a read-only operation ('Get'), but doesn't disclose permissions needed, rate limits, error conditions, or what the output contains. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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, efficient sentence with no wasted words. It's front-loaded with the core action ('Get a specific column validator'), making it easy to scan and understand quickly.

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?

Given the tool's low complexity (2 parameters, no nested objects) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and 0% schema coverage, it lacks context on permissions, errors, and parameter details that would help an agent use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate but adds no parameter details. It mentions 'by ID' which aligns with 'validator_id', but doesn't explain what a validator ID is, its format, or the optional 'tenant_id' parameter's purpose. The description fails to provide meaningful context beyond what's inferred from the parameter names.

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 verb 'Get' and the resource 'a specific column validator by ID', making the purpose unambiguous. It distinguishes from siblings like 'cdp_list_column_validators' (which lists multiple) and 'cdp_create_column_validator' (which creates new ones), but doesn't explicitly contrast them in the description itself.

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. The description doesn't mention prerequisites (e.g., needing a valid validator_id), nor does it differentiate from similar tools like 'cdp_list_column_validators' for browsing or 'cdp_get_entity' for other resources.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/atharva-joshi77/cdp-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server