pricing_in_deal

Pricing en Deal — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Agicap × Groupe Rocher — Deal €38k · stade négociation · contre-offre -30% · 3 scénarios pricing · ROI 12×. Inputs are validated server-side — send the documented case fields.

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Other

Parameters 54 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/pricing-in-deal.md

WHAT IT DOES

What pricing_in_deal does on Mcp Knowledge

AI agents call pricing_in_deal as a supporting operation in Mcp Knowledge workflows.

Parameter	Type	Required	Description
`deal`	object	Yes
`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
`company`	object	Yes
`redLines`	object	Yes
`negotiationContext`	object	Yes

Parameters from the server's own tool schema.

RISK

Why pricing_in_deal is rated Low

This tool appears to generate pricing analysis and deal scenario recommendations (a structured advisory deliverable) rather than directly moving money, executing code, writing/modifying data, or deleting anything.

From the tool's definition 'Pricing en Deal — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Agicap × Groupe Rocher — Deal €38k · stade négociation · contre-offre -30% · 3 scénarios pricing · ROI 12×'

Risk signalsHigh parameter count (30 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pricing_in_deal 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 pricing_in_deal, this is the rule to start with:

pricing_in_deal Rate-limited

pricing_in_deal gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "pricing_in_deal": {
      "limits": [
        {
          "counter": "pricing_in_deal_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every pricing_in_deal call is checked against it from then on.

FAQ

Questions about pricing_in_deal

What does the pricing_in_deal tool do? +

What parameters does pricing_in_deal accept? +

pricing_in_deal accepts 5 parameters: deal, async, company, redLines, negotiationContext. Required: deal, company, redLines, negotiationContext. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on pricing_in_deal? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for pricing_in_deal: 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.

What risk level is pricing_in_deal? +

pricing_in_deal is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pricing_in_deal? +

Yes. Add a rate_limit block to the pricing_in_deal 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.

How do I block pricing_in_deal completely? +

Set action: deny in the PolicyLayer policy for pricing_in_deal. 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.

What MCP server provides pricing_in_deal? +

pricing_in_deal 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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