recommend_deal_move
Recommend Adrata chat’s next no-loss deal move through the governed ToolDispatcher. Read-only: use write tools separately after the seller chooses an action. Supports competitor wedge inputs and uses observable-evidence triangulation guardrails; never infers IQ, age, college-as-IQ, proxy personal...
This record as markdown: /tools/adrata-starfield-mcp/recommend-deal-move.md
What recommend_deal_move does on Starfield
AI agents use recommend_deal_move to create or update resources in Starfield, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Starfield environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
personId | string | — | Optional person/contact ID for contact-level context. |
companyId | string | — | Optional company/account ID for account context. |
opportunityId | string | Yes | Opportunity/deal ID for recommendation context. |
decisionCriteria | array | — | Known buyer decision criteria from CRM, meetings, docs, or research. |
competitorFavored | boolean | — | Whether evidence suggests the competitor is currently favored. |
competitorPresent | boolean | — | Whether a competitor is known to be active in the deal. |
competitorStrengths | array | — | Evidence-backed competitor strengths in this account. |
competitorWeaknesses | array | — | Evidence-backed competitor vulnerabilities or gaps in this account. |
Parameters from the server's own tool schema.
Why recommend_deal_move is rated Medium
An AI agent can call recommend_deal_move faster than any human can review: one bad instruction and it creates or modifies resources in Starfield by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs recommend_deal_move safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Starfield, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For recommend_deal_move, this is the rule to start with:
recommend_deal_move 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 Starfield, apply this rule, and every recommend_deal_move call is checked against it from then on.
Questions about recommend_deal_move
Recommend Adrata chat’s next no-loss deal move through the governed ToolDispatcher. Read-only: use write tools separately after the seller chooses an action. Supports competitor wedge inputs and uses observable-evidence triangulation guardrails; never infers IQ, age, college-as-IQ, proxy personality, or protected classes. It is categorised as a Write tool in the Starfield MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
recommend_deal_move accepts 8 parameters: personId, companyId, opportunityId, decisionCriteria, competitorFavored, competitorPresent, competitorStrengths, competitorWeaknesses. Required: opportunityId. The full parameter table on this page comes from the server's own tool schema.
Register the Starfield MCP server in PolicyLayer and add a rule for recommend_deal_move: 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 Starfield. Nothing to install.
recommend_deal_move 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 recommend_deal_move 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 recommend_deal_move. 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.
recommend_deal_move is provided by the Starfield MCP server (@adrata/starfield-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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