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pin_workspace_decision

[MAINTENANCE] Pin a workspace-level decision that applies across ALL projects (shared architecture, org-wide standards). Injected at the top of every project's context block + handoff. category is free-text (STRATEGIC, TECHNICAL, ARCHITECTURAL, PRODUCT, ...). Persistent-state disclosure: on hoste...

SERVERMeridian SOURCE@meridianmcp/mcp
Medium RISK CLASS
Category Write
Parameters 32 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/pin-workspace-decision.md

What pin_workspace_decision does on Meridian

AI agents use pin_workspace_decision to create or update resources in Meridian, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meridian environment.

ParameterTypeRequiredDescription
body string Yes
title string Yes
category string

Parameters from the server's own tool schema.

Why pin_workspace_decision is rated Medium

The tool creates and persists workspace-level metadata that propagates globally across all projects and handoffs. While it modifies shared state reversibly (the description hints at deletion capability: 'Delete individual tasks, notes, or...'), it does not irreversibly destroy data, nor does it execute arbitrary code or transfer money.

From the tool's definition Tool 'pins' a workspace-level decision that is 'injected at the top of every project's context block + handoff' and explicitly states data is 'stored in Meridian's service' with persistence across sessions and visibility in 'dashboard/API and later project…

Risk signalsAccepts raw HTML/template content (body) · Bulk/mass operation — affects multiple targets

Questions about pin_workspace_decision

What does the pin_workspace_decision tool do? +

[MAINTENANCE] Pin a workspace-level decision that applies across ALL projects (shared architecture, org-wide standards). Injected at the top of every project's context block + handoff. category is free-text (STRATEGIC, TECHNICAL, ARCHITECTURAL, PRODUCT, ...). Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata are sent to and stored in Meridian's service; self-hosted deployments keep them in the configured local SQLite/Postgres database. This data is visible in the dashboard/API and later project context or handoffs. Delete individual tasks, notes, or decisions where supported, or delete the project/account using the documented controls. Do not include secrets. It is categorised as a Write tool in the Meridian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does pin_workspace_decision accept? +

pin_workspace_decision accepts 3 parameters: body, title, category. Required: body, title. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on pin_workspace_decision? +

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

What risk level is pin_workspace_decision? +

pin_workspace_decision is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit pin_workspace_decision? +

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

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

pin_workspace_decision is provided by the Meridian MCP server (@meridianmcp/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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