positioning_strategist
Stratège de positionnement — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub vs Tableau/Pigment/Looker — Angle de différenciation + 5 piliers messaging + battle plan. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/positioning-strategist.md
What positioning_strategist does on Mcp Knowledge
AI agents call positioning_strategist 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 |
market | object | Yes | |
company | object | Yes | |
product | object | Yes | |
aspirations | string | — | |
competitors | array | Yes | |
customerPains | array | Yes | |
currentWeaknesses | array | — |
Parameters from the server's own tool schema.
Why positioning_strategist is rated Low
The tool appears to generate strategic positioning analysis and messaging deliverables based on validated inputs. It returns structured content (analysis, messaging pillars, battle plan) without any indication of writing to external systems, executing code, deleting data, or moving money. This is essentially a read/query operation that produces advisory content.
From the tool's definition 'Stratège de positionnement' — Returns a structured, audited deliverable; 'C-suite expertise (CMO)'; 'Angle de différenciation + 5 piliers messaging + battle plan'
Risk signalsHigh parameter count (21 properties)
Attacks that exploit this kind of access
The rule that runs positioning_strategist 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 positioning_strategist, this is the rule to start with:
positioning_strategist 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 positioning_strategist call is checked against it from then on.
Questions about positioning_strategist
Stratège de positionnement — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub vs Tableau/Pigment/Looker — Angle de différenciation + 5 piliers messaging + battle plan. 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.
positioning_strategist accepts 8 parameters: async, market, company, product, aspirations, competitors, customerPains, currentWeaknesses. Required: market, company, product, competitors, customerPains. 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 positioning_strategist: 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.
positioning_strategist 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 positioning_strategist 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 positioning_strategist. 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.
positioning_strategist 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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