Day-by-day AVERAGE NEWS SENTIMENT for a GDELT query over time. Returns datapoints with timestamp + tone value (-100 very negative .. +100 very positive, computed from GDELT's sentiment scoring of every article matching the query). Use for tracking sentiment shifts around a topic, person, country,...
Risk signalsAccepts freeform code/query input (query) · Bulk/mass operation — affects multiple targets
Part of the Gdelt server.
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AI agents may call timeline_tone to permanently remove or destroy resources in Gdelt. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call timeline_tone in a loop, permanently destroying resources in Gdelt. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"timeline_tone"
]
}See the full Gdelt policy for all 23 tools.
These attack patterns abuse exactly the kind of access timeline_tone gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Day-by-day AVERAGE NEWS SENTIMENT for a GDELT query over time. Returns datapoints with timestamp + tone value (-100 very negative .. +100 very positive, computed from GDELT's sentiment scoring of every article matching the query). Use for tracking sentiment shifts around a topic, person, country, or event ("how did press coverage of X change after Y happened"). Pair with timeline_volume to chart sentiment vs interest — interest spike + sentiment drop = something bad just happened.. It is categorised as a Destructive tool in the Gdelt MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Gdelt MCP server in PolicyLayer and add a rule for timeline_tone: 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 Gdelt. Nothing to install.
timeline_tone is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the timeline_tone 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 timeline_tone. 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.
timeline_tone is provided by the Gdelt MCP server (https://gateway.pipeworx.io/gdelt/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 23 Gdelt tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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