AI agents use reclaim_mark_complete to create or update resources in Reclaim Ai MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Reclaim Ai MCP Server environment.
This tool modifies task state (marking complete) but does not irreversibly destroy data or commit financial obligations. The action is reversible—a completed task can be marked incomplete again (evidenced by sibling 'reclaim_mark_incomplete'). This places it in the Write category.
From the tool's definition Tool name 'reclaim_mark_complete' indicates state modification of a task from incomplete to complete status.
Documented attack patterns abuse exactly the kind of access reclaim_mark_complete gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Reclaim Ai MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for reclaim_mark_complete:
{
"version": "1",
"default": "deny",
"tools": {
"reclaim_mark_complete": {
"limits": [
{
"counter": "reclaim_mark_complete_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}reclaim_mark_complete 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.
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reclaim_mark_complete. It is categorised as a Write tool in the Reclaim Ai MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Reclaim Ai MCP Server MCP server in PolicyLayer and add a rule for reclaim_mark_complete: 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 Reclaim Ai MCP Server. Nothing to install.
reclaim_mark_complete 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 reclaim_mark_complete 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 reclaim_mark_complete. 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.
reclaim_mark_complete is provided by the Reclaim Ai MCP Server MCP server (johnjhughes/reclaim-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Reclaim Ai MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 Reclaim Ai MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.