upload_resume
Upload/replace the candidate
This record as markdown: /tools/io-github-proagentstore-platform/upload-resume.md
What upload_resume does on ProAgentStore
AI agents use upload_resume to create or update resources in ProAgentStore, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ProAgentStore environment.
Why upload_resume is rated Medium
This tool modifies candidate profile information by uploading or replacing a resume. While it affects recruitment data, it is reversible (the previous resume could theoretically be restored), making it Write rather than Destructive.
From the tool's definition Tool description states 'Upload/replace the candidate', indicating it creates or modifies candidate resume data. The 'replace' verb suggests it can overwrite existing data reversibly.
Attacks that exploit this kind of access
The rule that runs upload_resume safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For upload_resume, this is the rule to start with:
upload_resume 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.
The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every upload_resume call is checked against it from then on.
Questions about upload_resume
Upload/replace the candidate. It is categorised as a Write tool in the ProAgentStore MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for upload_resume: 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 ProAgentStore. Nothing to install.
upload_resume 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 upload_resume 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 upload_resume. 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.
upload_resume is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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