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rampify-dev

Rampify MCP Server

by rampify-dev

create_feature_spec

Generate structured feature specifications for Rampify projects by defining requirements, acceptance criteria, and implementation tasks from codebase context.

Instructions

Create and save a feature specification to Rampify.

IMPORTANT: Before calling this tool, YOU (Claude) must generate the complete structured spec from the user's description and your codebase context. Do not pass raw natural language — populate all fields:

  • Infer affected_files from open files and the codebase structure

  • Infer tech_stack from package.json and imports

  • Generate 3-5 acceptance criteria covering happy path, edge cases, and error handling

  • Break implementation into 3-8 concrete tasks with file references

  • Write ai_context_summary to help future AI agents understand the approach

  • Set next_action to the single most important first step

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainNoSite domain (e.g., "example.com"). Uses SEO_CLIENT_DOMAIN env var if not provided.
project_idNoProject UUID — use instead of domain when no domain is configured. Accepts client ID (from /clients/[id]/ in the dashboard URL) or site UUID. Uses RAMPIFY_PROJECT_ID env var if not provided.
titleYesShort, imperative title (e.g., "Add dark mode toggle")
descriptionNoFull description of the feature, its purpose and user value
feature_typeNoType of feature (default: new_feature)
priorityNoPriority level (default: normal)
ai_context_summaryNo2-3 sentence summary of architecture decisions for future AI agents
next_actionNoThe single next concrete step to start implementation
tech_stackNoTechnologies involved (e.g., ["Next.js", "Tailwind CSS"])
affected_filesNoFiles to create or modify (relative paths)
tagsNoCategorization tags
criteriaNoAcceptance criteria
tasksNoOrdered implementation tasks
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly indicates this is a write operation ('Create and save'), specifies required pre-processing ('generate the complete structured spec'), and outlines the agent's responsibilities. However, it doesn't mention authentication needs, rate limits, or what happens on failure.

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 well-structured with clear sections and bullet points, but could be more concise. The 'IMPORTANT' section contains detailed instructions that earn their place, though some redundancy exists between the bullet points and schema descriptions. Overall efficient but slightly verbose.

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?

For a complex 13-parameter tool with no annotations and no output schema, the description provides substantial context about the agent's responsibilities and the expected input structure. It compensates well for the lack of output schema by explaining what constitutes valid input. However, it doesn't address error cases or system constraints.

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 schema already documents all 13 parameters thoroughly. The description adds minimal parameter-specific guidance beyond the schema, mainly emphasizing that parameters like 'affected_files' and 'tech_stack' should be inferred from context rather than passed as raw natural language.

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 the tool's purpose with a specific verb ('Create and save') and resource ('feature specification to Rampify'). It distinguishes from sibling tools like 'get_feature_spec' (read) and 'update_feature_spec' (modify existing) by emphasizing creation of new specifications.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when and how to use this tool versus alternatives. It specifies prerequisites ('Before calling this tool, YOU must generate the complete structured spec'), distinguishes from passing raw natural language, and implicitly contrasts with 'get_feature_spec' for retrieval and 'update_feature_spec' for modifications.

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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