New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

run_workflow

Start a multi-step workflow pipeline and return its session id and definition_sha immediately by default — the fingerprint of the definition this run resolved, comparable against the one plan_workflow reported. Poll get_workflow_session for each step's model/provider and output. synthesis. Steps ...

SERVERMeta Council SOURCEhttps://meta-council.com/mcp
High RISK CLASS
Category Execute
Parameters 62 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-meta-council-decision-intelligence/run-workflow.md

What run_workflow does on Meta Council

AI agents invoke run_workflow to trigger actions in Meta Council. 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.

ParameterTypeRequiredDescription
query string Yes The input to run the pipeline on. Be specific, e.g. 'Analyze NVDA as an investment'.
workflow string Yes The workflow slug (from list_workflows), e.g. 'live_market_pipeline', 'due_diligence', 'coding_tdd'.
parameters object — Values for the workflow's declared parameters, as a flat name-to-value object, e.g. {"region": "EU"}. Omitted names use their declared defaults. Workflows that
step_models object — Per-run model choices, keyed by zero-based step index, exactly as supplied to plan_workflow. IDs are catalog-validated; existing key, tier and platform fallback
wait_seconds integer — Optional synchronous wait; default 0 returns immediately.
idempotency_key string — Caller-supplied key: sending the same key again returns the run that already exists instead of starting a second, paid run. Use a stable key derived from your o

Parameters from the server's own tool schema.

Why run_workflow is rated High

run_workflow 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.

Questions about run_workflow

What does the run_workflow tool do? +

Start a multi-step workflow pipeline and return its session id and definition_sha immediately by default — the fingerprint of the definition this run resolved, comparable against the one plan_workflow reported. Poll get_workflow_session for each step's model/provider and output. synthesis. Steps run on YOUR configured provider keys, so a pipeline can chain models across providers. If a step is a human checkpoint, returns the session id to advance. Requires authentication. It is categorised as a Execute tool in the Meta Council MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does run_workflow accept? +

run_workflow accepts 6 parameters: query, workflow, parameters, step_models, wait_seconds, idempotency_key. Required: query, workflow. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on run_workflow? +

Register the Meta Council MCP server in PolicyLayer and add a rule for run_workflow: 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 Meta Council. Nothing to install.

What risk level is run_workflow? +

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

Can I rate-limit run_workflow? +

Yes. Add a rate_limit block to the run_workflow 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 run_workflow completely? +

Set action: deny in the PolicyLayer policy for run_workflow. 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 run_workflow? +

run_workflow is provided by the Meta Council MCP server (https://meta-council.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Meta Council, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Meta Council's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.