Analyse the sentiment and tone of global news coverage for a topic over time. Returns average tone scores (negative = negative coverage, positive = positive), trend summary, and timeline. Great for brand monitoring or tracking public sentiment.
AI agents call gdelt_tone_analysis to retrieve information from UnClick without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Yes | Topic or keyword to analyse |
timespan | string | — | Time window (e.g. '24h', '7d', '1month') |
sourcelang | string | — | Filter by source language |
sourcecountry | string | — | Filter by source country code |
Parameters from the server's own tool schema.
This tool queries and analyzes existing data (news sentiment/tone) and returns computed metrics. It is a read-only retrieval operation with no side effects. The data is pre-existing and the tool merely performs sentiment analysis on it. The severity is low because misuse would only result in retrieving information, not causing harm to systems or data.
From the tool's definition Tool description states it 'Analyse[s] the sentiment and tone of global news coverage' and 'Returns average tone scores... and timeline'. The verbs are analytical and retrieval-focused: analyse, returns.
Risk signalsAccepts freeform code/query input (query)
Attacks that exploit this kind of access
Analyse the sentiment and tone of global news coverage for a topic over time. Returns average tone scores (negative = negative coverage, positive = positive), trend summary, and timeline. Great for brand monitoring or tracking public sentiment. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
gdelt_tone_analysis accepts 4 parameters: query, timespan, sourcelang, sourcecountry. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for gdelt_tone_analysis: 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 UnClick. Nothing to install.
gdelt_tone_analysis 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 gdelt_tone_analysis 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 gdelt_tone_analysis. 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.
gdelt_tone_analysis is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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