gdelt_tone_analysis
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.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/gdelt-tone-analysis.md
What gdelt_tone_analysis does on UnClick
AI agents call gdelt_tone_analysis to retrieve information from UnClick 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 |
|---|---|---|---|
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.
Why gdelt_tone_analysis is rated Low
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.
Attacks that exploit this kind of access
The rule that runs gdelt_tone_analysis safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gdelt_tone_analysis, this is the rule to start with:
gdelt_tone_analysis 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 UnClick, apply this rule, and every gdelt_tone_analysis call is checked against it from then on.
Questions about gdelt_tone_analysis
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.
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