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flowpass_run

Run FlowPass against a public fixture or registered pack. Returns journey readiness, step verdicts, hat outputs, exclusions, and a stored report. Without fixture proof, returns a plan-only receipt instead of pretending a live journey ran.

SERVERUnClick SOURCE@unclick/mcp-server
High RISK CLASS
Category Execute
Parameters 120 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/flowpass-run.md

What flowpass_run does on UnClick

AI agents invoke flowpass_run to trigger actions in UnClick. 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
url string Alias for target_url
pack object FlowPass pack object
fixture object Public fixture evidence for route, CTA, form, success, failure, navigation, handoff, side channels, timing, and accessibility.
pack_id string Registered FlowPass pack id
profile string Run profile label. Defaults to smoke.
pack_name string Registered FlowPass pack name
pack_yaml string FlowPass YAML pack using plain-English steps
journey_id string Optional journey id override
target_sha string Optional PR or commit SHA for receipt staleness checks
target_url string Target URL for a one-off FlowPass run
generated_at string Optional ISO timestamp for reproducible fixture tests
journey_kind string

Parameters from the server's own tool schema.

Why flowpass_run is rated High

This tool executes a FlowPass testing or validation workflow against fixtures or packs. While the exact nature of the side effects is unclear from the generic terminology ('journey', 'hat outputs'), the core action is to 'run' something with observable outcomes (verdicts, reports, stored state). This is an Execute-category tool rather than Read because it triggers an operation with stored side effects.

From the tool's definition Tool name 'flowpass_run' and description 'Run FlowPass against a public fixture or registered pack' indicates execution of a process or test workflow.

Risk signalsAccepts URL/endpoint input (url) · High parameter count (13 properties)

Questions about flowpass_run

What does the flowpass_run tool do? +

Run FlowPass against a public fixture or registered pack. Returns journey readiness, step verdicts, hat outputs, exclusions, and a stored report. Without fixture proof, returns a plan-only receipt instead of pretending a live journey ran. It is categorised as a Execute tool in the UnClick MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does flowpass_run accept? +

flowpass_run accepts 12 parameters: url, pack, fixture, pack_id, profile, pack_name, pack_yaml, journey_id, target_sha, target_url, generated_at, journey_kind. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on flowpass_run? +

Register the UnClick MCP server in PolicyLayer and add a rule for flowpass_run: 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.

What risk level is flowpass_run? +

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

Can I rate-limit flowpass_run? +

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

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

flowpass_run 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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