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Adobe VIP Marketplace Docs MCP Server

Get VIPMP tips for a topic

get_vipmp_tips
Read-onlyIdempotent

Fetch operational tips for any Adobe VIP Marketplace topic, including rules, gotchas, and field notes that complement official reference docs. Use list topics to see available sections.

Instructions

Return SoftwareOne-authored operational tips for topic — rules, gotchas, and field notes that complement Adobe's reference docs.

Topic matching is case-insensitive and punctuation-tolerant: "customer lifecycle", "Customer Lifecycle", and "customer_lifecycle" all resolve to the same section. Use list_vipmp_tip_topics to see what topics exist.

Args: topic: The topic to fetch tips for (e.g. "customer lifecycle", "ordering flow", "3YC", "auth and sandbox").

Returns the raw tips markdown verbatim. Empty-topic and missing-topic cases return a short placeholder message rather than an error, so the assistant can explain gracefully when a topic has no tips yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.17.0
  2. Removedv0.13.1
  3. First observedv0.9.0

TDQS

A4.8/5.0
Behavior5/5

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

Adds substantial behavioral detail beyond the annotations: case-insensitive and punctuation-tolerant matching, verbatim markdown return, and graceful placeholder behavior for empty or missing topics. The readOnly and idempotent hints are consistent with the description, with 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.

Conciseness5/5

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

The description is front-loaded with the core purpose, then adds matching semantics, argument documentation, and return behavior. Every sentence earns its place without redundant fluff or restating the schema.

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

Completeness5/5

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

Covers purpose, parameter semantics, matching behavior, return format, edge cases, and a pointer to the topic-listing sibling. For a one-parameter read-only tool, nothing essential is missing.

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

Parameters5/5

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

Schema coverage is 0%, so the description fully compensates by defining `topic`, giving concrete examples like 'customer lifecycle', 'ordering flow', '3YC', and explaining matching semantics. It also routes to `list_vipmp_tip_topics` for valid topic discovery.

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?

States a specific verb and resource: 'Return SoftwareOne-authored operational tips for topic' — naming them as rules, gotchas, and field notes that complement Adobe's reference docs. This clearly separates it from sibling tools like list_vipmp_tip_topics or get_vipmp_page.

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?

Offers clear usage context: use it to fetch operational tips for a topic, and use `list_vipmp_tip_topics` to discover available topics. It does not explicitly state when to prefer other siblings like search_vipmp_docs, but the purpose is specific enough that an agent can select it correctly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.