earnings_reviewer

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp

Critical RISK CLASS

Category Financial

Parameters 63 required

Recommended Approval-gatedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/earnings-reviewer.md

WHAT IT DOES

What earnings_reviewer does on Gapup Mcp

AI agents use earnings_reviewer to commit financial operations through Gapup Mcp, usually the final step of a payment, billing, or trading workflow. A call moves real money.

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
`company`	object	Yes
`quarter`	object	Yes
`analystFocus`	string	—
`secFilingContext`	string	—
`transcriptExcerpt`	string	Yes

Parameters from the server's own tool schema.

RISK

Why earnings_reviewer is rated Critical

The tool is explicitly agent-payable on a per-call basis (x402), meaning each invocation incurs a financial transaction. It is framed under FUNDRAISING and produces C-suite-grade analyst deliverables from earnings transcripts and 10-Q filings. While the primary output is a read/analytical artifact, the payment obligation triggered per call and the fundraising context place this firmly in the Financial category.

From the tool's definition 'agent-payable', 'FUNDRAISING', 'x402 per-call', 'analyst note', earnings review tied to fundraising context

Risk signalsHigh parameter count (12 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs earnings_reviewer safely

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

earnings_reviewer Approval-gated

Any call to earnings_reviewer is blocked until a human approves it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "earnings_reviewer": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

GATE THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about earnings_reviewer

What does the earnings_reviewer tool do? +

Earnings Reviewer — Gapup agent-payable C-suite expertise (FUNDRAISING). Returns a structured, audited deliverable. Reference case: Salesforce Q3 FY2026 — call transcript + 10-Q + guidance → analyst note. Inputs are validated server-side — send the documented case fields. It is categorised as a Financial tool in the Gapup Mcp MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

What parameters does earnings_reviewer accept? +

earnings_reviewer accepts 6 parameters: async, company, quarter, analystFocus, secFilingContext, transcriptExcerpt. Required: company, quarter, transcriptExcerpt. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on earnings_reviewer? +

Register the Gapup MCP server in PolicyLayer and add a rule for earnings_reviewer: 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 Gapup Mcp. Nothing to install.

What risk level is earnings_reviewer? +

earnings_reviewer is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit earnings_reviewer? +

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

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

earnings_reviewer is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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