pentest_scope_estimator
Estimateur de scope pentest — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: For a <scope_type> pentest on <tech_stack> with <N> assets, what is the effort and cost estimate? · How much should I budget for a web application + API penetration test...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/pentest-scope-estimator.md
What pentest_scope_estimator does on Gapup Mcp
AI agents call pentest_scope_estimator to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| 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 |
scope_type | string | Yes | |
tech_stack | array | Yes | |
asset_count | integer | — | |
target_geos | array | — | |
engagement_type | string | — | |
retest_included | boolean | — | |
business_context | string | Yes | |
compliance_frameworks | array | — |
Parameters from the server's own tool schema.
Why pentest_scope_estimator is rated Low
The tool is an estimator and advisor that returns structured deliverables answering questions about pentest scope, cost, effort, and planning. It reads/queries domain knowledge to produce recommendations and estimates — no code execution, data modification, deletion, or financial transactions occur.
From the tool's definition Estimateur de scope pentest — Returns a structured, audited deliverable. Answers questions about effort and cost estimates, budget, engagement plans, engagement type recommendations, and prerequisites for pentest engagements.
Attacks that exploit this kind of access
The rule that runs pentest_scope_estimator 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 pentest_scope_estimator, this is the rule to start with:
pentest_scope_estimator is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every pentest_scope_estimator call is checked against it from then on.
Questions about pentest_scope_estimator
Estimateur de scope pentest — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: For a <scope_type> pentest on <tech_stack> with <N> assets, what is the effort and cost estimate? · How much should I budget for a web application + API penetration test for SOC 2 Type II compliance? · What is the standard engagement plan (PTES phases + deliverables) for a <scope_type> pentest? · Which engagement type (black-box/grey-box/white-box/red-team) is recommended for my context? · What are the prerequisites and risks for a pentest engagement on my cloud infrastructure? Reference case: Acme SaaS Inc — Fintech B2B EU · web-app + API REST · 12 microservices Node.js AWS · . Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
pentest_scope_estimator accepts 9 parameters: async, scope_type, tech_stack, asset_count, target_geos, engagement_type, retest_included, business_context, compliance_frameworks. Required: scope_type, tech_stack, business_context. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for pentest_scope_estimator: 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.
pentest_scope_estimator is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pentest_scope_estimator 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 pentest_scope_estimator. 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.
pentest_scope_estimator 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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