Skip to main content
Glama
TsvetanG2

cognigy-ai-mcp-management-server

set_contact_profile_schema

Idempotent

Configure custom fields for contact profiles in Cognigy.AI projects. Use dryRun to validate schema updates before applying.

Instructions

Sets the contact profile schema for a Cognigy.AI project. Defines what custom fields can be stored in contact profiles. MUTATING: Set dryRun=false to update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoIf true (default), validates without updating. Set to false to actually update.
schemaYesArray of schema field definitions
projectIdYesThe project ID to set the profile schema for
Behavior4/5

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

Annotations already indicate mutability (readOnlyHint=false) and non-destructiveness. The description adds that mutation only occurs when dryRun=false, which is valuable context beyond annotations.

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 two sentences long, immediately front-loading the core purpose and then adding the mutation detail. Every sentence is necessary and zero waste.

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 3 parameters, no output schema, and annotations present, the description adequately covers purpose, mutation behavior, and parameter role via the schema. It lacks guidance on when to use among siblings but is otherwise complete.

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 description coverage is 100%, so the schema fully documents parameters. The description does not add new meaning beyond restating the dryRun effect, which is already in the schema's parameter description.

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 'sets' and the resource 'contact profile schema for a Cognigy.AI project', specifying that it defines custom fields. It also distinguishes from the sibling 'get_contact_profile_schema' by implying mutation.

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

Usage Guidelines3/5

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

The description implies when to update (dryRun=false) but does not explicitly state when to use this tool versus alternatives like 'create_contact_profile' or when not to use it. No sibling differentiation is provided.

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/TsvetanG2/cognigy-ai-mcp-management-server'

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