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TsvetanG2

cognigy-ai-mcp-management-server

update_contact_profile

Idempotent

Update an existing Cognigy.AI contact profile to modify stored user data or GDPR consent. Validate changes with dryRun before applying.

Instructions

Updates an existing Cognigy.AI contact profile. Use this to modify stored user data or GDPR consent. MUTATING: Set dryRun=false to update.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoIf true (default), validates without updating. Set to false to actually update.
profileNoProfile data to update (merges with existing)
profileIdYesThe contact profile ID to update
acceptedGDPRNoUpdate GDPR consent status
Behavior4/5

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

Annotations already show readOnlyHint=false and idempotentHint=true. Description adds value by explaining the dryRun mechanism and that setting it to false performs the mutation, which is critical behavioral 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?

Two efficient sentences: first states purpose, second provides usage guidance with dryRun warning. No redundant information, every sentence earns its place.

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?

Covers purpose, usage, and key behavioral trait (dryRun). For a mutation tool with 4 well-documented params and no output schema, the description is nearly complete. Could mention return behavior but not necessary given context.

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?

Input schema has 100% coverage with descriptions for all 4 parameters. The tool description does not add additional parameter-level details beyond what the schema provides. Baseline of 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?

Description clearly states 'Updates an existing Cognigy.AI contact profile' with specific verb+resource and mentions modifying user data or GDPR consent, distinguishing it from create/delete/get contact profile siblings.

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?

Explicitly states when to use: modify stored user data or GDPR consent. Warns about dryRun=false to actually update. Does not explicitly list when not to use or compare to alternatives like merge_contact_profiles, but context is clear.

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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