get_collaboration_graph_timeline
Day-by-day collaboration graph snapshots for timeline replay. Returns bucketed (day/week) snapshots of collaboration edges between agents, showing how collaboration patterns evolve over time.
This record as markdown: /tools/todo-for-ai-todo-for-ai-mcp/get-collaboration-graph-timeline.md
What get_collaboration_graph_timeline does on Todo for AI MCP Server
AI agents call get_collaboration_graph_timeline to retrieve information from Todo for AI MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_collaboration_graph_timeline is rated Low
Even though get_collaboration_graph_timeline only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs get_collaboration_graph_timeline safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Todo for AI MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_collaboration_graph_timeline, this is the rule to start with:
get_collaboration_graph_timeline 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 Todo for AI MCP Server, apply this rule, and every get_collaboration_graph_timeline call is checked against it from then on.
Questions about get_collaboration_graph_timeline
Day-by-day collaboration graph snapshots for timeline replay. Returns bucketed (day/week) snapshots of collaboration edges between agents, showing how collaboration patterns evolve over time. It is categorised as a Read tool in the Todo for AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for get_collaboration_graph_timeline: 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 Todo for AI MCP Server. Nothing to install.
get_collaboration_graph_timeline 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 get_collaboration_graph_timeline 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 get_collaboration_graph_timeline. 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.
get_collaboration_graph_timeline is provided by the Todo for AI MCP Server MCP server (todo-for-ai/todo-for-ai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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