Build a deployment manifest, validate it against the documented Fred rules, and compute the SHA-256 meta_hash that would be recorded on-chain. Use this BEFORE deploy_app to catch invalid manifests without paying for a lease. Two modes: raw
AI agents invoke build_manifest_preview to trigger actions in Manifest MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This is an Execute tool because it runs validation logic and computational operations (SHA-256 hashing, rule validation) whose outputs depend on complex input processing. It is not Destructive because it only previews/validates without modifying on-chain state. It is not Write because it doesn't commit changes—it's explicitly a pre-deployment check.
From the tool's definition Tool computes SHA-256 hashes and validates manifests against documented rules, which involves processing inputs to produce deterministic outputs.
Attacks that exploit this kind of access
Build a deployment manifest, validate it against the documented Fred rules, and compute the SHA-256 meta_hash that would be recorded on-chain. Use this BEFORE deploy_app to catch invalid manifests without paying for a lease. Two modes: raw. It is categorised as a Execute tool in the Manifest MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Manifest MCP server in PolicyLayer and add a rule for build_manifest_preview: 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 Manifest MCP. Nothing to install.
build_manifest_preview is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the build_manifest_preview 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 build_manifest_preview. 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.
build_manifest_preview is provided by the Manifest MCP server (manifest-network/manifest-mcp-mono). 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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