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Helios-9 MCP Server

by jakedx6

get_initiative_insights

Analyze an initiative to receive AI-generated insights and actionable recommendations for improving project outcomes.

Instructions

Get AI-powered insights and recommendations for an initiative

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
initiative_idYesThe unique identifier of the initiative

Implementation Reference

  • Registration of the 'get_initiative_insights' tool with name, description, and inputSchema requiring a UUID initiative_id.
    export const getInitiativeInsightsTool: MCPTool = {
      name: 'get_initiative_insights',
      description: 'Get AI-powered insights and recommendations for an initiative',
      inputSchema: {
        type: 'object',
        properties: {
          initiative_id: {
            type: 'string',
            format: 'uuid',
            description: 'The unique identifier of the initiative'
          }
        },
        required: ['initiative_id']
      }
    }
  • Input validation schema (GetInitiativeSchema) using Zod, requiring initiative_id as a UUID string.
    const GetInitiativeSchema = z.object({
      initiative_id: z.string().uuid()
    })
  • Handler function for get_initiative_insights: wrapped with requireAuth, parses args with GetInitiativeSchema, calls supabaseService.getInitiativeInsights(), and returns the insights.
    export const getInitiativeInsights = requireAuth(async (args: any) => {
      const { initiative_id } = GetInitiativeSchema.parse(args)
      
      logger.info('Getting initiative insights', { initiative_id })
      
      const insights = await supabaseService.getInitiativeInsights(initiative_id)
      
      return { insights }
    })
  • API client method getInitiativeInsights that makes a GET request to /api/mcp/initiatives/{initiativeId}/insights and returns the insights data.
    async getInitiativeInsights(initiativeId: string): Promise<any> {
      const response = await this.request<{ insights: any }>(`/api/mcp/initiatives/${initiativeId}/insights`)
      return response.insights
    }
  • Mapping of 'get_initiative_insights' to the getInitiativeInsights handler in the initiativeHandlers export.
    export const initiativeHandlers = {
      list_initiatives: listInitiatives,
      get_initiative: getInitiative,
      create_initiative: createInitiative,
      update_initiative: updateInitiative,
      get_initiative_context: getInitiativeContext,
      get_initiative_insights: getInitiativeInsights,
      search_workspace: searchWorkspace,
Behavior2/5

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

No annotations exist, so description bears full responsibility. It mentions 'AI-powered' but does not disclose side effects, permissions, rate limits, or whether it is a read-only operation.

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?

Single sentence, front-loaded with action and resource. Efficient but could include more detail without becoming verbose.

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?

Missing output schema and no description of return format. For an AI-powered insights tool, the agent needs to know what the response contains (e.g., fields, structure).

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%, and the description adds little beyond the schema's own description of initiative_id. Baseline of 3 is appropriate.

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?

The description clearly states the action ('Get') and the resource ('AI-powered insights and recommendations for an initiative'), distinguishing it from siblings like get_initiative which likely returns raw data.

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?

No guidance on when to use this tool versus alternatives such as get_project_insights or get_automation_analytics. The agent is left to infer use cases.

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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