competitor_moves
Mouvements concurrents — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Answers: What have my named competitors done recently — releases, pricing changes, hires, funding? · Which competitor signals are the most urgent right now and what should I do about t...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/competitor-moves.md
What competitor_moves does on Mcp Knowledge
AI agents call competitor_moves 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 |
focus | string | — | |
competitors | array | Yes | |
selfCompany | object | Yes |
Parameters from the server's own tool schema.
Why competitor_moves is rated Low
The tool retrieves and analyzes publicly available competitive intelligence (releases, pricing changes, hires, funding) and returns a structured deliverable. It is a query/analysis tool with no side effects — it reads and synthesizes information rather than writing, executing, or destroying anything.
From the tool's definition What have my named competitors done recently — releases, pricing changes, hires, funding? · Which competitor signals are the most urgent right now
Risk signalsAccepts URL/endpoint input (selfCompany.url)
Attacks that exploit this kind of access
The rule that runs competitor_moves 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 competitor_moves, this is the rule to start with:
competitor_moves 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 competitor_moves call is checked against it from then on.
Questions about competitor_moves
Mouvements concurrents — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Answers: What have my named competitors done recently — releases, pricing changes, hires, funding? · Which competitor signals are the most urgent right now and what should I do about them? Reference case: Notion — moves de ClickUp, Asana, Coda. 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.
competitor_moves accepts 4 parameters: async, focus, competitors, selfCompany. Required: competitors, selfCompany. 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 competitor_moves: 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.
competitor_moves 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 competitor_moves 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 competitor_moves. 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.
competitor_moves 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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