5 tools. 3 can modify or destroy data without limits.
1 destructive tool with no built-in limits. Policy required.
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Destructive tools (clean_text) permanently delete resources. There is no undo. An agent calling these in a retry loop causes irreversible damage.
Write operations (merge_datasets) modify state. Without rate limits, an agent can make hundreds of changes in seconds — faster than any human can review or revert.
Execute tools (transform_csv_to_json) trigger processes with side effects. Builds, notifications, workflows — all fired without throttling.
Intercept sits between your agent and Structured Data Validator. Every tool call checked against your policy before it executes — so your agent can do its job without breaking things.
npx -y @policylayer/intercept scan -- npx -y @agenson-horrowitz/structured-data-validator-mcp clean_text:
rules:
- action: deny Destructive tools should never be available to autonomous agents without human approval.
merge_datasets:
rules:
- rate_limit: 30/hour Prevents bulk unintended modifications from agents caught in loops.
normalize_data:
rules:
- rate_limit: 60/minute Controls API costs and prevents retry loops from exhausting upstream rate limits.
Yes. The Structured Data Validator server exposes 1 destructive tools including clean_text. These permanently remove resources with no undo. Intercept blocks destructive tools by default so they never reach the upstream server.
The Structured Data Validator server has 1 write tools including merge_datasets. Set rate limits in your policy file -- for example, rate_limit: 10/hour prevents an agent from making more than 10 modifications per hour. Intercept enforces this at the transport layer.
5 tools across 4 categories: Destructive, Execute, Read, Write. 2 are read-only. 3 can modify, create, or delete data.
One line change. Instead of running the Structured Data Validator server directly, prefix it with Intercept: intercept -c io-github-agenson-horrowitz-structured-data-validator.yaml -- npx -y @@agenson-horrowitz/structured-data-validator-mcp. Download a pre-built policy from policylayer.com/policies/io-github-agenson-horrowitz-structured-data-validator and adjust the limits to match your use case.
Starter policies available for each. Same risk classification, same one-command setup.
Set budgets, approvals, and hard limits across MCP servers.
npx -y @policylayer/intercept init