MCP Tool Reference Medium Risk

update_issue

Update an existing issue

Part of the Linear MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

WHEN AI AGENTS USE THIS TOOL

AI agents use update_issue to create or modify resources in Linear. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

WHY ENFORCE A POLICY ON UPDATE_ISSUE

Without a policy, an AI agent could call update_issue repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Linear.

RECOMMENDED POLICY

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

linear.yaml
tools:
  update_issue:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Linear policy for all 23 tools.

DETAILS

Tool Name

update_issue

Category

Write

MCP Server

Linear MCP Server

Risk Level

Medium

MORE LINEAR TOOLS

View all 23 tools →

SIMILAR WRITE TOOLS ON OTHER SERVERS

RELATED READING

FREQUENTLY ASKED QUESTIONS

What does the update_issue tool do?

Update an existing issue. It is categorised as a Write tool in the Linear MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_issue?

Add a rule in your Intercept YAML policy under the tools section for update_issue. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Linear MCP server.

What risk level is update_issue?

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

Can I rate-limit update_issue?

Yes. Add a rate_limit block to the update_issue rule in your Intercept 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 update_issue completely?

Set action: deny in the Intercept policy for update_issue. 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 update_issue?

update_issue is provided by the Linear MCP server (linear-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

ENFORCE POLICIES ON LINEAR

Open source. One binary. Zero dependencies.