Medium Risk

reclaim_log_work

reclaim_log_work

How to control reclaim_log_work ↓

What reclaim_log_work does on Reclaim Ai MCP Server

AI agents use reclaim_log_work 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.

Medium Risk

Why reclaim_log_work needs a policy

The tool name implies creating or updating work log entries, which is a Write operation (creates or modifies data reversibly). The empty description reduces confidence slightly, but the server context (task management, timer operations) and the sibling tools (reclaim_add_time, reclaim_mark_complete) strongly suggest this logs time or work against tasks.

From the tool's definition Tool name 'reclaim_log_work' suggests recording or documenting work activity. Server description confirms this server manages tasks through operations including 'updating' and 'timer operations.' Logging work typically modifies task state or records time…

Documented attack patterns abuse exactly the kind of access reclaim_log_work gives an agent:

How to control reclaim_log_work

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_log_work:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "reclaim_log_work": {
      "limits": [
        {
          "counter": "reclaim_log_work_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

reclaim_log_work 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.

  1. Create a free account and register Reclaim Ai MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about reclaim_log_work

What does the reclaim_log_work tool do? +

reclaim_log_work. 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.

How do I enforce a policy on reclaim_log_work? +

Register the Reclaim Ai MCP Server MCP server in PolicyLayer and add a rule for reclaim_log_work: 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.

What risk level is reclaim_log_work? +

reclaim_log_work is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit reclaim_log_work? +

Yes. Add a rate_limit block to the reclaim_log_work 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.

How do I block reclaim_log_work completely? +

Set action: deny in the PolicyLayer policy for reclaim_log_work. 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.

What MCP server provides reclaim_log_work? +

reclaim_log_work 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.

Enforce policy on every Reclaim Ai MCP Server tool call.

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.

Free to start. No card required.

13 Reclaim Ai MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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