market_sizing
Dimensionnement marché TAM/SAM/SOM — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub — TAM/SAM/SOM IA décisionnelle C-suite Europe · TAM €48Md · SOM €280M Year-3. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/market-sizing.md
What market_sizing does on Mcp Knowledge
AI agents call market_sizing to retrieve information from Mcp Knowledge 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 |
target | object | Yes | |
horizon | string | — | |
product | object | Yes | |
approach | array | — | |
competitorComps | array | — |
Parameters from the server's own tool schema.
Why market_sizing is rated Low
This tool performs market sizing analysis (TAM/SAM/SOM), which is a read/query operation that retrieves and structures analytical data. It returns a structured deliverable based on inputs, with no indication of writing, executing code, deleting data, or moving money. The reference case output is analytical in nature.
From the tool's definition Dimensionnement marché TAM/SAM/SOM — Returns a structured, audited deliverable
Risk signalsHigh parameter count (12 properties)
Attacks that exploit this kind of access
The rule that runs market_sizing safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For market_sizing, this is the rule to start with:
market_sizing 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 Mcp Knowledge, apply this rule, and every market_sizing call is checked against it from then on.
Questions about market_sizing
Dimensionnement marché TAM/SAM/SOM — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub — TAM/SAM/SOM IA décisionnelle C-suite Europe · TAM €48Md · SOM €280M Year-3. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
market_sizing accepts 6 parameters: async, target, horizon, product, approach, competitorComps. Required: target, product. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for market_sizing: 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 Mcp Knowledge. Nothing to install.
market_sizing 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 market_sizing 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 market_sizing. 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.
market_sizing is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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