Medium Risk

mutation_createIssue

[Demo] Create an issue — mutations are auto-detected and exposed as tools. Smart truncation keeps responses within LLM context limits.

Part of the Graphql To server.

mutation_createIssue can modify Graphql To data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use mutation_createIssue to create or modify resources in Graphql To. 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.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "mutation_createIssue": {
      "limits": [
        {
          "counter": "mutation_createissue_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Graphql To policy for all 3 tools.

Get this rule live on your own Graphql To server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access mutation_createIssue gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so mutation_createIssue only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the mutation_createIssue tool do? +

[Demo] Create an issue — mutations are auto-detected and exposed as tools. Smart truncation keeps responses within LLM context limits.. It is categorised as a Write tool in the Graphql To MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on mutation_createIssue? +

Register the Graphql To MCP server in PolicyLayer and add a rule for mutation_createIssue: 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 Graphql To. Nothing to install.

What risk level is mutation_createIssue? +

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

Can I rate-limit mutation_createIssue? +

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

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

mutation_createIssue is provided by the Graphql To MCP server (graphql-to-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Graphql To tool call.

Deterministic rules across all 3 Graphql To tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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