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croakingtoad

Context Engineering MCP Server

by croakingtoad

generate_prp

Generate a Product Requirements Prompt from a template and project context, with options to save to storage and integrate with Archon.

Instructions

Generate a Product Requirements Prompt based on a template and project context with storage integration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoTags for the generated PRP
authorNoAuthor of the generated PRP
categoryNoCategory for the generated PRPprp
filenameNoCustom filename for the generated PRP
projectIdNoProject ID for Archon integration
templateIdYesID of the template to use for generation
createTasksNoWhether to create Archon tasks from PRP sections
outputFormatNoOutput format for the generated PRPmarkdown
saveToArchonNoWhether to save to Archon if available
saveToStorageNoWhether to save the generated PRP to storage
customSectionsNoOptional custom sections to add to the PRP
projectContextYesContext information about the project
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only vaguely mentions 'storage integration' but does not disclose that saveToStorage defaults to true, that Archon integration or task creation may occur, or any side effects/return behavior.

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 one sentence, front-loaded with the action and object, and contains no fluff or repeated information from the schema.

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?

Given the tool's complexity (12 parameters, nested objects, multiple integration flags) and no output schema or annotations, the one-sentence description is insufficient. It omits integration behavior, output/return details, and deeper guidance for correct invocation.

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 coverage is 100%, with detailed parameter descriptions. The tool description adds only general context (template, project context, storage integration) and does not enrich specific parameter semantics beyond the schema.

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 generates a Product Requirements Prompt from a template and project context, with storage integration. This distinguishes it from siblings like validate_prp, list_prps, and update_prp.

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?

The description implies the use case: generating a PRP from an existing template and project context. It does not explicitly name alternatives or exclusions, but the context is clear enough when compared to sibling tools.

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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