Skip to main content
Glama

cdp_update_column_validator

Modify column validation rules in Acquia CDP by updating validator configurations with JSON input to ensure data quality and compliance.

Instructions

Update a column validator. Pass updated fields as a JSON string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
validator_idYes
bodyYes
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 for behavioral disclosure. It states this is an update operation, implying mutation, but doesn't mention required permissions, whether changes are reversible, potential side effects, or response format. The mention of JSON string for 'body' hints at input format but lacks behavioral depth.

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 zero wasted words. It's front-loaded with the core purpose and includes essential parameter guidance, making it appropriately concise for its limited content.

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 a mutation tool with no annotations, 0% schema coverage, and an output schema (which reduces need to describe returns), the description is incomplete. It lacks behavioral context, doesn't fully address parameters, and offers no usage guidance, leaving significant gaps for an update operation.

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. It only mentions 'body' as a JSON string for updated fields, ignoring 'validator_id' and 'tenant_id'. This leaves two parameters undocumented, failing to add sufficient meaning beyond the bare schema.

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 ('Update') and resource ('a column validator'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'cdp_create_column_validator' or 'cdp_delete_column_validator', but the verb 'Update' implies modification of an existing validator rather than creation or deletion.

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 like 'cdp_create_column_validator' for creation or 'cdp_get_column_validator' for retrieval. It mentions passing updated fields as JSON, but this is a parameter instruction rather than usage context.

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