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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...

SERVERStarfield SOURCE@adrata/starfield-mcp
Medium RISK CLASS
Category Write
Parameters 81 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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.

ParameterTypeRequiredDescription
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.

Questions about recommend_deal_move

What does the recommend_deal_move tool do? +

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.

What parameters does recommend_deal_move accept? +

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.

How do I enforce a policy on recommend_deal_move? +

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.

What risk level is recommend_deal_move? +

recommend_deal_move is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit recommend_deal_move? +

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.

How do I block recommend_deal_move completely? +

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.

What MCP server provides recommend_deal_move? +

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.

More on Starfield, and thousands of servers like it.

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