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tenkai2018

ai-business-system-advisor-mcp

by tenkai2018

Map Customer Touchpoints

map_customer_touchpoints
Read-onlyIdempotent

Map customer touchpoints to identify trust-sensitive moments, automation-safe areas, and gaps in the customer journey for AI workflow planning.

Instructions

Maps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aiIdeaNoAI or automation idea that may affect customer touchpoints.
touchpointsNoSpecific customer-facing moments, handoffs, or interactions to review.
businessTypeNoType of business being reviewed.
riskConcernsNoConcerns about trust, customer experience, brand reputation, privacy, or quality control.
salesProcessNoHow leads are qualified, sold, and converted before delivery begins.
currentProblemNoMain customer journey or workflow problem the user wants to solve.
supportProcessNoHow customer questions, issues, tickets, or requests are handled.
currentWorkflowNoCurrent workflow steps, tools, owners, and handoffs.
customerJourneyNoKnown customer journey stages from first contact through retention.
deliveryProcessNoHow the business delivers the offer or service after onboarding.
recoveryProcessNoHow complaints, refunds, exceptions, or service recovery are handled.
retentionProcessNoHow renewals, repeat purchases, referrals, or ongoing customer value are managed.
onboardingProcessNoHow new customers are welcomed, scoped, educated, or set up.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
confidenceYesConfidence level based on the clarity and completeness of the provided business context.
touchpointsYesReviewed customer touchpoints with classification, reason, and suggested control.
humanCriticalAreasYesAreas where human review or ownership should remain explicit.
missingInformationYesInformation the user should provide to improve diagnostic confidence.
automationSafeAreasYesAreas that appear suitable for AI assistance or automation with low risk.
trustSensitiveMomentsYesMoments where customer trust, expectations, or brand perception may be at risk.
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description's behavior is consistent. The description adds some context about what is mapped (trust-sensitive moments, automation-safe areas, etc.) beyond the annotations, but does not elaborate on non-obvious behaviors like data persistence or side effects. No contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently lists the mapping outputs. It is front-loaded with the verb 'Maps' and is concise without extra words. Could be slightly more structured (e.g., bullet points) but acceptable.

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 13 parameters and an output schema, the description provides a high-level overview but lacks detail on how inputs affect outputs or typical use cases. The output schema exists, so return values need not be explained, but the description could better guide agent on what to provide.

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 baseline is 3. The description does not add extra meaning beyond the schema's parameter descriptions. It lists the types of mapping output but does not relate parameters to those outputs.

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 it maps customer-facing workflow stages, trust-sensitive moments, etc., using a specific verb ('maps') and resource ('customer touchpoints'). It distinguishes itself from siblings like 'evaluate_ai_opportunities' and 'identify_bottlenecks' by focusing on mapping multiple types of touchpoint-related areas.

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 explicit guidance on when to use this tool vs alternatives. The description does not mention conditions, prerequisites, or when not to use. Sibling tools are provided in context but the description itself lacks usage context.

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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