scheduled_task_runs_logs

Read scheduled-task-runs.logs through the Appaloft application operation catalog. Shared with CLI and HTTP/API.

SERVERAppaloft SOURCE@appaloft/mcp

Low RISK CLASS

Category Read

Parameters 51 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/appaloft-mcp/scheduled-task-runs-logs.md

WHAT IT DOES

What scheduled_task_runs_logs does on Appaloft

AI agents call scheduled_task_runs_logs to retrieve information from Appaloft without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required
`limit`	integer	—
`runId`	string	Yes
`cursor`	string	—
`taskId`	string	—
`resourceId`	string	—

Parameters from the server's own tool schema.

RISK

Why scheduled_task_runs_logs is rated Low

Even though scheduled_task_runs_logs only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs scheduled_task_runs_logs safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Appaloft, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scheduled_task_runs_logs, this is the rule to start with:

scheduled_task_runs_logs Allowed

scheduled_task_runs_logs is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "scheduled_task_runs_logs": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Appaloft, apply this rule, and every scheduled_task_runs_logs call is checked against it from then on.

FAQ

Questions about scheduled_task_runs_logs

What does the scheduled_task_runs_logs tool do? +

Read scheduled-task-runs.logs through the Appaloft application operation catalog. Shared with CLI and HTTP/API. It is categorised as a Read tool in the Appaloft MCP Server, which means it retrieves data without modifying state.

What parameters does scheduled_task_runs_logs accept? +

scheduled_task_runs_logs accepts 5 parameters: limit, runId, cursor, taskId, resourceId. Required: runId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on scheduled_task_runs_logs? +

Register the Appaloft MCP server in PolicyLayer and add a rule for scheduled_task_runs_logs: 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 Appaloft. Nothing to install.

What risk level is scheduled_task_runs_logs? +

scheduled_task_runs_logs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit scheduled_task_runs_logs? +

Yes. Add a rate_limit block to the scheduled_task_runs_logs 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 scheduled_task_runs_logs completely? +

Set action: deny in the PolicyLayer policy for scheduled_task_runs_logs. 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 scheduled_task_runs_logs? +

scheduled_task_runs_logs is provided by the Appaloft MCP server (@appaloft/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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