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...
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.
| Parameter | Type | Required | Description |
|---|---|---|---|
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
Attacks that exploit this kind of access
The rule that runs pin_workspace_decision safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Meridian, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pin_workspace_decision, this is the rule to start with:
pin_workspace_decision stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Meridian, apply this rule, and every pin_workspace_decision call is checked against it from then on.
Questions about 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 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.
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.
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.
pin_workspace_decision is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
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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