Acquire, release, or query distributed file locks. ALWAYS query before editing shared files to avoid conflicts with other agents.
AI agents invoke mesh_lock to trigger actions in Slm Mesh. 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.
Acquiring and releasing distributed locks triggers external coordination state changes across machines and sessions — it's not purely reading data, but actively modifying shared lock state. Misuse (e.g., holding locks indefinitely or acquiring locks on wrong files) could block other agents from editing shared files, causing deadlocks or coordination failures.
From the tool's definition Acquire, release, or query distributed file locks... to avoid conflicts with other agents
Documented attack patterns abuse exactly the kind of access mesh_lock gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Slm Mesh, and nothing reaches the server without passing your rules. This is the rule we recommend for mesh_lock:
{
"version": "1",
"default": "deny",
"tools": {
"mesh_lock": {
"limits": [
{
"counter": "mesh_lock_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}mesh_lock 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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Acquire, release, or query distributed file locks. ALWAYS query before editing shared files to avoid conflicts with other agents. It is categorised as a Execute tool in the Slm Mesh MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Slm Mesh MCP server in PolicyLayer and add a rule for mesh_lock: 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 Slm Mesh. Nothing to install.
mesh_lock 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 mesh_lock 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 mesh_lock. 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.
mesh_lock is provided by the Slm Mesh MCP server (qualixar/slm-mesh). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Slm Mesh, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
8 Slm Mesh tools catalogued and risk-classified — across an index of 43,000+ MCP servers.