cap_table_strategist
Stratège du cap table — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Aleph AI Series B — modèle dilution multi-rounds + simulations secondaires + hygiène equity · 5 scenarios. Inputs are validated server-side — send the documented...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/cap-table-strategist.md
What cap_table_strategist does on Mcp Knowledge
AI agents call cap_table_strategist to retrieve information from Mcp Knowledge 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 | — | |
company | object | Yes | |
plannedRounds | array | Yes | |
currentCapTable | object | Yes | |
founderObjectives | string | Yes |
Parameters from the server's own tool schema.
Why cap_table_strategist is rated Low
The tool describes generating cap table strategy analysis, dilution modeling, and equity hygiene scenarios. It 'returns a structured, audited deliverable,' suggesting it produces read/analytical output rather than executing transactions or modifying financial records. However, the description is partially in French and somewhat vague about side effects.
From the tool's definition 'Returns a structured, audited deliverable' and 'modèle dilution multi-rounds + simulations secondaires + hygiène equity · 5 scenarios' — the tool appears to generate analysis and simulations
Risk signalsHigh parameter count (22 properties)
Attacks that exploit this kind of access
The rule that runs cap_table_strategist safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cap_table_strategist, this is the rule to start with:
cap_table_strategist 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 Mcp Knowledge, apply this rule, and every cap_table_strategist call is checked against it from then on.
Questions about cap_table_strategist
Stratège du cap table — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Aleph AI Series B — modèle dilution multi-rounds + simulations secondaires + hygiène equity · 5 scenarios. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
cap_table_strategist accepts 6 parameters: async, focus, company, plannedRounds, currentCapTable, founderObjectives. Required: company, plannedRounds, currentCapTable, founderObjectives. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for cap_table_strategist: 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 Mcp Knowledge. Nothing to install.
cap_table_strategist 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 cap_table_strategist 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 cap_table_strategist. 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.
cap_table_strategist is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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