Synthesize lens results after parallel review. Validates findings, applies blocking policy, classifies origin (introduced vs pre-existing), auto-files pre-existing issues, generates merger prompt. Call after collecting all lens subagent results.
AI agents use storybloq_review_lenses_synthesize to create or update resources in Storybloq — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Storybloq environment.
While the tool performs analysis and validation (Read-like operations), its primary function is to synthesize findings and auto-file issues, which constitutes creation of new data records and modifications to the project context state. This is reversible (issues can be updated or removed), so it falls into Write rather than Destructive.
From the tool's definition The tool 'synthesize lens results after parallel review' with actions including 'validates findings, applies blocking policy, classifies origin, auto-files pre-existing issues, generates merger prompt' indicates creation and modification of data structures…
Documented attack patterns abuse exactly the kind of access storybloq_review_lenses_synthesize gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Storybloq, and nothing reaches the server without passing your rules. This is the rule we recommend for storybloq_review_lenses_synthesize:
{
"version": "1",
"default": "deny",
"tools": {
"storybloq_review_lenses_synthesize": {
"limits": [
{
"counter": "storybloq_review_lenses_synthesize_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}storybloq_review_lenses_synthesize stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Synthesize lens results after parallel review. Validates findings, applies blocking policy, classifies origin (introduced vs pre-existing), auto-files pre-existing issues, generates merger prompt. Call after collecting all lens subagent results. It is categorised as a Write tool in the Storybloq MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Storybloq MCP server in PolicyLayer and add a rule for storybloq_review_lenses_synthesize: 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 Storybloq. Nothing to install.
storybloq_review_lenses_synthesize is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the storybloq_review_lenses_synthesize 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 storybloq_review_lenses_synthesize. 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.
storybloq_review_lenses_synthesize is provided by the Storybloq MCP server (storybloq/storybloq). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 54 Storybloq tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
54 Storybloq tools catalogued and risk-classified — across an index of 42,500+ MCP servers.