playbook_run_filter_data

Playbooks \u00b7 query playbookRunFilterData. Variables: after, filter, first, order, after1, filter1, first1, order1, after2, filter2, first2, order2. Example variables: {\

Server ReliaQuest GreyMatter MCP Server space-c0wboy/reliaquest-greymatter-mcp-server
Category Read
Risk class Low
Parameters 00 required

What playbook_run_filter_data does on ReliaQuest GreyMatter MCP Server

AI agents call playbook_run_filter_data to retrieve information from ReliaQuest GreyMatter MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why playbook_run_filter_data needs a policy

The tool name contains 'query' and 'filter_data', indicating it retrieves/queries filtering metadata about playbook runs. The variables (after, filter, first, order) are typical pagination and filtering parameters used in GraphQL read queries. No write, execute, or destructive operations are indicated.

From the tool's definition 'query playbookRunFilterData' - this is a query operation that retrieves filter data for playbook runs

Questions about playbook_run_filter_data

What does the playbook_run_filter_data tool do? +

Playbooks \u00b7 query playbookRunFilterData. Variables: after, filter, first, order, after1, filter1, first1, order1, after2, filter2, first2, order2. Example variables: {\. It is categorised as a Read tool in the ReliaQuest GreyMatter MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on playbook_run_filter_data? +

Register the ReliaQuest GreyMatter MCP Server MCP server in PolicyLayer and add a rule for playbook_run_filter_data: 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 ReliaQuest GreyMatter MCP Server. Nothing to install.

What risk level is playbook_run_filter_data? +

playbook_run_filter_data is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit playbook_run_filter_data? +

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

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

playbook_run_filter_data is provided by the ReliaQuest GreyMatter MCP Server MCP server (space-c0wboy/reliaquest-greymatter-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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