proposal_generator
Générateur de propositions commerciales — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Spendesk × Gapup Hub — Proposition 7 sections · ROI 3Y €1.8M · Payback 4 mois. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/proposal-generator.md
What proposal_generator does on Mcp Knowledge
AI agents use proposal_generator to create or update resources in Mcp Knowledge, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Knowledge environment.
| 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 |
offer | object | Yes | |
company | object | Yes | |
prospect | object | Yes | |
dealContext | object | — |
Parameters from the server's own tool schema.
Why proposal_generator is rated Medium
This tool creates or generates new structured documents (business proposals) rather than retrieving existing data. Creating business proposals reversibly modifies records or generates new assets that can be edited or discarded, fitting the Write category.
From the tool's definition Tool description states it 'Returns a structured, audited deliverable' and generates 'propositions commerciales' (business proposals). The reference case shows it produces documented output artifacts (7-section proposal with financial projections).
Risk signalsHigh parameter count (18 properties)
Attacks that exploit this kind of access
The rule that runs proposal_generator 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 proposal_generator, this is the rule to start with:
proposal_generator 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 Mcp Knowledge, apply this rule, and every proposal_generator call is checked against it from then on.
Questions about proposal_generator
Générateur de propositions commerciales — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Spendesk × Gapup Hub — Proposition 7 sections · ROI 3Y €1.8M · Payback 4 mois. Inputs are validated server-side — send the documented case fields. It is categorised as a Write tool in the Mcp Knowledge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
proposal_generator accepts 5 parameters: async, offer, company, prospect, dealContext. Required: offer, company, prospect. 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 proposal_generator: 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.
proposal_generator 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 proposal_generator 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 proposal_generator. 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.
proposal_generator 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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