Validate a startup idea before scaffolding code for it. Returns a scorecard (10-dimension Venture Readiness Score, 0–100), an evidence brief tagged by source (observed / inferred / AI / claim), a kill / pivot / test / build verdict, founder-fit calibration deltas if a skill graph is on file, and ...
AI agents call validate_idea to retrieve information from Trigvale without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and evaluates startup ideas against a deterministic scorecard and returns structured analysis (scores, verdicts, cautions). There are no side effects—no data is created, modified, deleted, or executed. The user input (a startup idea) is processed to generate read-only insights.
From the tool's definition The tool 'validate_idea' returns a scorecard, evidence brief, verdict, and archetype assignments. The description emphasizes it 'returns' and 'before writing project scaffolding', indicating it retrieves and analyzes data without modifying, deleting, or…
Attacks that exploit this kind of access
Validate a startup idea before scaffolding code for it. Returns a scorecard (10-dimension Venture Readiness Score, 0–100), an evidence brief tagged by source (observed / inferred / AI / claim), a kill / pivot / test / build verdict, founder-fit calibration deltas if a skill graph is on file, and 1–3 archetype assignments with structural cautions for that cluster. Call this BEFORE writing project scaffolding when the user is greenfield-building from a raw idea. It is categorised as a Read tool in the Trigvale MCP Server, which means it retrieves data without modifying state.
Register the Trigvale MCP server in PolicyLayer and add a rule for validate_idea: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Trigvale. Nothing to install.
validate_idea is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the validate_idea rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for validate_idea. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
validate_idea is provided by the Trigvale MCP server (sydacos-development/trigvale-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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