Analyze a document using the Recursive Language Model (RLM).
AI agents invoke analyze_document to trigger actions in Lattice. 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 tool executes an analysis operation using an RLM engine on a document, which involves running a computational process (the Lattice/Nucleus DSL engine) against input data. It goes beyond simple retrieval — it triggers external computation.
From the tool's definition Analyze a document using the Recursive Language Model (RLM)
Documented attack patterns abuse exactly the kind of access analyze_document gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Lattice, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_document:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_document": {
"limits": [
{
"counter": "analyze_document_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} analyze_document stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Analyze a document using the Recursive Language Model (RLM). It is categorised as a Execute tool in the Lattice MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Lattice MCP server in PolicyLayer and add a rule for analyze_document: 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 Lattice. Nothing to install.
analyze_document 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 analyze_document 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 analyze_document. 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.
analyze_document is provided by the Lattice MCP server (yogthos/matryoshka). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 15 Lattice tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
15 Lattice tools catalogued and risk-classified — across an index of 42,500+ MCP servers.