get_deal_coaching

MEDDPIC analysis for a deal with risk assessment, forcing questions, and recommended next move. Orchestrates opportunity, stakeholder, and activity data into coaching insights.

SERVERAdrata SOURCE@adrata/adrata-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adrata-adrata-mcp/get-deal-coaching.md

WHAT IT DOES

What get_deal_coaching does on Adrata

AI agents call get_deal_coaching to retrieve information from Adrata without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_deal_coaching is rated Low

Even though get_deal_coaching only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_deal_coaching safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adrata, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_deal_coaching, this is the rule to start with:

get_deal_coaching Allowed

get_deal_coaching is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_deal_coaching": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about get_deal_coaching

What does the get_deal_coaching tool do? +

MEDDPIC analysis for a deal with risk assessment, forcing questions, and recommended next move. Orchestrates opportunity, stakeholder, and activity data into coaching insights. It is categorised as a Read tool in the Adrata MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_deal_coaching? +

Register the Adrata MCP server in PolicyLayer and add a rule for get_deal_coaching: 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 Adrata. Nothing to install.

What risk level is get_deal_coaching? +

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

Can I rate-limit get_deal_coaching? +

Yes. Add a rate_limit block to the get_deal_coaching 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 get_deal_coaching completely? +

Set action: deny in the PolicyLayer policy for get_deal_coaching. 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 get_deal_coaching? +

get_deal_coaching is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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