investor_shortlist
Shortlist d'investisseurs ciblés — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Aleph AI — Series B €30M · 60 investisseurs EU/US matchés par stage/thèse · fit score + warm intro path + first message angle. Inputs are validated se...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/investor-shortlist.md
What investor_shortlist does on Gapup Mcp
AI agents call investor_shortlist to retrieve information from Gapup Mcp 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 | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
focus | string | — | |
round | object | Yes | |
company | object | Yes | |
preferences | object | Yes |
Parameters from the server's own tool schema.
Why investor_shortlist is rated Low
The tool queries and returns a structured list of matched investors with fit scores and intro paths — this is fundamentally a data retrieval/matching operation. However, it operates within a financial fundraising context and is 'agent-payable' (x402 per-call), meaning each invocation incurs a financial cost.
From the tool's definition Shortlist d'investisseurs ciblés — Returns a structured, audited deliverable. Reference case: 60 investisseurs EU/US matchés par stage/thèse · fit score + warm intro path + first message angle.
Risk signalsHigh parameter count (24 properties)
Attacks that exploit this kind of access
The rule that runs investor_shortlist safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For investor_shortlist, this is the rule to start with:
investor_shortlist is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every investor_shortlist call is checked against it from then on.
Questions about investor_shortlist
Shortlist d'investisseurs ciblés — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Aleph AI — Series B €30M · 60 investisseurs EU/US matchés par stage/thèse · fit score + warm intro path + first message angle. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
investor_shortlist accepts 5 parameters: async, focus, round, company, preferences. Required: round, company, preferences. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for investor_shortlist: 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 Gapup Mcp. Nothing to install.
investor_shortlist 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 investor_shortlist 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 investor_shortlist. 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.
investor_shortlist is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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