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Map Modules D7 To D10

map_modules_d7_to_d10

Maps Drupal 7 modules to Drupal 10 equivalents using AI and known mappings, so you can plan upgrades and find replacement modules.

Instructions

Map Drupal 7 modules to D10 equivalents using AI + known mappings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ai_providerNoollama
module_listYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It hints at method (AI plus known mappings) but says nothing about determinism, latency, whether the AI provider choice affects results, or what the output contains, leaving the mutation/read profile and reliability unclear.

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?

A single tight sentence with the operation front-loaded and zero filler. It is efficient, though the brevity comes at the cost of the missing guidance noted elsewhere.

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

Completeness2/5

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

An output schema exists, so return values need not be explained. However, with no annotations and 0% parameter documentation, the description leaves the input contract and behavioral profile underspecified for a tool whose results depend on an AI provider.

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% for two parameters. The description never mentions module_list's expected format (machine names, project names, or versions) or the ai_provider parameter and its 'ollama' default, so it adds no meaning beyond the bare schema.

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

Purpose4/5

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

States a specific verb (map) and resource (Drupal 7 modules to D10 equivalents) plus the mechanism (AI + known mappings). An agent can tell what it does, but nothing distinguishes it from near siblings like generate_module_migration, ai_generate_migration_plan, or map_fields_ai.

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?

There is no when-to-use guidance, no mention of prerequisites, and no pointer to alternative tools such as generate_module_migration or analyze_d7_site. The agent must infer usage entirely from the name.

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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