climate_scenario_rcp
Projections climatiques long terme par scénario IPCC (RCP AR5 + SSP AR6) pour toute localisation. Scénarios : RCP_4_5, RCP_8_5 (AR5), SSP1_2_6, SSP2_4_5, SSP3_7_0, SSP5_8_5 (AR6), ou 'all' (compare tous). Horizons : 2030–2100. Métriques : température (delta vs baseline 1990-2010, jours >35°C, nui...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/climate-scenario-rcp.md
What climate_scenario_rcp does on Gapup Mcp
AI agents call climate_scenario_rcp to retrieve information from Gapup Mcp 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 |
metrics | array | — | Métriques à inclure. Défaut : toutes. |
location | object | Yes | Localisation : {city, country?} ou {lat, lon} |
scenario | string | Yes | Scénario IPCC. 'all' génère une comparaison multi-scénarios. |
horizon_year | number | Yes | Année horizon de la projection (2030–2100) |
compare_baseline | boolean | — | Comparer vs baseline 1990-2010 (défaut true) |
Parameters from the server's own tool schema.
Why climate_scenario_rcp is rated Low
This tool retrieves and projects climate data based on IPCC scenarios for any location. It is purely a read/query operation — fetching long-term climate projections, metrics, and business impact signals. There are no write, execute, destructive, or financial side effects described.
From the tool's definition Projections climatiques long terme... Sorties : comparaison multi-scénarios, probabilité IPCC, signaux d'impact business par secteur. Sources : Open
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs climate_scenario_rcp safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For climate_scenario_rcp, this is the rule to start with:
climate_scenario_rcp 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 Gapup Mcp, apply this rule, and every climate_scenario_rcp call is checked against it from then on.
Questions about climate_scenario_rcp
Projections climatiques long terme par scénario IPCC (RCP AR5 + SSP AR6) pour toute localisation. Scénarios : RCP_4_5, RCP_8_5 (AR5), SSP1_2_6, SSP2_4_5, SSP3_7_0, SSP5_8_5 (AR6), ou 'all' (compare tous). Horizons : 2030–2100. Métriques : température (delta vs baseline 1990-2010, jours >35°C, nuits chaudes), précipitations (delta%, événements extrêmes, sécheresses), hausse du niveau de la mer (cm vs 2000), événements extrêmes (ouragans, inondations P100, sécheresses), indice incendie. Sorties : comparaison multi-scénarios, probabilité IPCC, signaux d'impact business par secteur. Sources : Open-Meteo CMIP6 (keyless), IPCC AR6 Atlas lookup, NOAA SLR projections. Usages : TCFD/CSRD physical risk, due diligence actifs long terme, assurance catastrophe, planification infrastructure. Cache 7j. SLA ≤20s. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
climate_scenario_rcp accepts 6 parameters: async, metrics, location, scenario, horizon_year, compare_baseline. Required: location, scenario, horizon_year. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for climate_scenario_rcp: 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 Gapup Mcp. Nothing to install.
climate_scenario_rcp 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 climate_scenario_rcp 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 climate_scenario_rcp. 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.
climate_scenario_rcp is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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