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ecidk

Research Insights MCP Server

by ecidk

map_customer_journey

Map user research insights to customer journey stages like awareness, consideration, onboarding, adoption, and renewal to identify pain points and opportunities.

Instructions

Link insights to customer journey stages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
journey_stagesNo
include_timelineNo
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 only states the action without explaining side effects, return values, or whether the tool creates, updates, or reads data. This is insufficient for a tool with no embedded safety hints.

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

Conciseness2/5

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

While the description is a single sentence, it is under-specified and lacks structure. It does not front-load key information or earn its place with value; rather, it is incomplete.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 3 parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain what the tool outputs, prerequisites, or relationships to the 44 sibling tools, leaving the agent with insufficient context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning no parameter descriptions exist in the schema. The description adds no explanations for the three parameters (customer_id, journey_stages, include_timeline), so the agent must guess their meaning only from names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Link insights to customer journey stages' indicates a verb ('link') and a resource ('insights to customer journey stages'), but 'insights' is vague and the scope is unclear. It does not differentiate from siblings like 'identify_journey_gaps' or 'track_cohort_over_time'.

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. No when-not-to-use conditions or context are given, leaving the agent to infer usage entirely.

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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