gribstream_build_timeseries_request

SERVERGribStream MCP SOURCEhttps://gribstream.com/mcp

High RISK CLASS

Category Execute

Parameters 32 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-gribstream-mcp/gribstream-build-timeseries-request.md

WHAT IT DOES

What gribstream_build_timeseries_request does on GribStream MCP

AI agents invoke gribstream_build_timeseries_request to trigger actions in GribStream MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Parameter	Type	Required	Description
`accept`	string	—	Desired response format for the eventual HTTP request. Prefer application/vnd.apache.parquet for dense grids and large typed tabular results.
`dataset`	string	Yes	Dataset code, for example gfs, ifsoper, nbm, hrrr, or urma.
`request`	object	Yes	Timeseries request body. Use either timesList or fromTime+untilTime as UTC valid times. Omit asOf unless the user explicitly asks for backtesting, time travel,

Parameters from the server's own tool schema.

RISK

Why gribstream_build_timeseries_request is rated High

gribstream_build_timeseries_request triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Risk signalsAccepts freeform code/query input (request.expressions[].expression) · High parameter count (37 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gribstream_build_timeseries_request safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GribStream MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gribstream_build_timeseries_request, this is the rule to start with:

gribstream_build_timeseries_request Rate-limited

gribstream_build_timeseries_request stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gribstream_build_timeseries_request": {
      "limits": [
        {
          "counter": "gribstream_build_timeseries_request_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GribStream MCP, apply this rule, and every gribstream_build_timeseries_request call is checked against it from then on.

FAQ

Questions about gribstream_build_timeseries_request

What does the gribstream_build_timeseries_request tool do? +

NO AUTH / PUBLIC / READ-ONLY. Builds and validates a copy-pasteable authenticated /api/v2/{dataset}/timeseries HTTP request without sending it. This tool does not execute the request, query weather values, or return forecast data. Use gribstream_query_timeseries when the user asks for actual weather values or CSV/JSON/NDJSON/Parquet data. Generated direct API requests include Accept-Encoding: gzip, and generated curl commands use --compressed so large responses can be transferred compressed when the client supports it. Do not include request.asOf unless the user explicitly wants backtesting, time travel, or a historical model-run cutoff. The request body must use exact selectors discovered from the catalog or shared-parameter tools, with coordinates in request.coordinates and selectors in request.variables. It is categorised as a Execute tool in the GribStream MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does gribstream_build_timeseries_request accept? +

gribstream_build_timeseries_request accepts 3 parameters: accept, dataset, request. Required: dataset, request. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on gribstream_build_timeseries_request? +

Register the GribStream MCP server in PolicyLayer and add a rule for gribstream_build_timeseries_request: 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 GribStream MCP. Nothing to install.

What risk level is gribstream_build_timeseries_request? +

gribstream_build_timeseries_request is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit gribstream_build_timeseries_request? +

Yes. Add a rate_limit block to the gribstream_build_timeseries_request 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.

How do I block gribstream_build_timeseries_request completely? +

Set action: deny in the PolicyLayer policy for gribstream_build_timeseries_request. 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.

What MCP server provides gribstream_build_timeseries_request? +

gribstream_build_timeseries_request is provided by the GribStream MCP server (https://gribstream.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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