Updates details of a tracked job (notes, deadline, salary, tags). Input: - tracked_job_id: The tracked job ID (required) - notes: Updated notes - deadline: Deadline date (ISO 8601 format) - salary_offered: Salary amount - salary_offered_type: Salary type: year, month, week, day, hour - tags: Comm...
Part of the FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT server.
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AI agents use tracker_update to create or modify resources in FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call tracker_update repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"tracker_update": {
"limits": [
{
"counter": "tracker_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT policy for all 13 tools.
These attack patterns abuse exactly the kind of access tracker_update gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Updates details of a tracked job (notes, deadline, salary, tags). Input: - tracked_job_id: The tracked job ID (required) - notes: Updated notes - deadline: Deadline date (ISO 8601 format) - salary_offered: Salary amount - salary_offered_type: Salary type: year, month, week, day, hour - tags: Comma-separated tags (e.g., "remote,startup,tech") - reminder_at: Reminder date/time in ISO 8601 format, e.g. "2025-03-15T10:00:00Z" (must be in the future, or empty to clear) Output: Returns the updated tracked job.. It is categorised as a Write tool in the FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT MCP server in PolicyLayer and add a rule for tracker_update: 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 FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT. Nothing to install.
tracker_update 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 tracker_update 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 tracker_update. 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.
tracker_update is provided by the FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT MCP server (@foundrole/ai-job-search-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 FoundRole — AI Job Search & Application Tracker MCP for Claude & ChatGPT tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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