get_funder_profile
AI agents call get_funder_profile to retrieve information from Kindora-for-ChatGPT MCP server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves profile data about funders from public grant and IRS 990 databases. This is a read operation with no side effects. However, confidence is moderately reduced (0.72 rather than higher) because the description is empty, leaving some ambiguity about whether the tool might perform write or other operations.
From the tool's definition Tool name 'get_funder_profile' retrieves profile information about a funder; sibling tools on this server include 'search_funders', 'get_foundation_grants', 'get_funder_stats', and 'get_990_summary', all of which are read-only data retrieval operations from…
Attacks that exploit this kind of access
get_funder_profile. It is categorised as a Read tool in the Kindora-for-ChatGPT MCP server MCP Server, which means it retrieves data without modifying state.
Register the Kindora-for-ChatGPT MCP server MCP server in PolicyLayer and add a rule for get_funder_profile: 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 Kindora-for-ChatGPT MCP server. Nothing to install.
get_funder_profile is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_funder_profile 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 get_funder_profile. 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.
get_funder_profile is provided by the Kindora-for-ChatGPT MCP server MCP server (wayanvota/kindora-chatgpt-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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