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TsvetanG2

cognigy-ai-mcp-management-server

create_contact_profile

Creates a contact profile to persist user data across sessions, enabling personalized interactions.

Instructions

Creates a new Cognigy.AI contact profile. Contact profiles persist user data across sessions for personalization. MUTATING: Set dryRun=false to create.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoIf true (default), validates without creating. Set to false to actually create.
profileNoProfile data to store (custom fields)
contactIdYesThe unique contact identifier for this profile
projectIdYesThe project ID to create the profile in
acceptedGDPRNoWhether the user has accepted GDPR consent
Behavior4/5

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

The description labels the tool as MUTATING and explains the dryRun flag, consistent with annotations (readOnlyHint=false). It adds context about data persistence across sessions. No contradictions.

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 sentences: first explains purpose, second gives usage instruction. No unnecessary words or repetition.

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 creation tool with 5 parameters and no output schema, the description covers the essential behavior (creation, dryRun, persistence). It does not explain edge cases or return values, but is adequate.

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?

The input schema has 100% coverage with parameter descriptions. The description reinforces the dryRun purpose but does not add significant new meaning beyond the schema. 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 action (creates) and resource (contact profile), and explains its purpose (persist user data across sessions). This distinguishes it from sibling tools like list_contact_profiles, update_contact_profile, etc.

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?

The description explicitly instructs to set dryRun=false to actually create, which guides when to use the tool. It implies a validation mode (dryRun=true) but does not explicitly mention alternatives.

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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