item_type
The item's type, either issue or pull_request. Required for 'add_project_item' method. (string, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/item-type.md
What item_type does on GitHub
AI agents call item_type as a supporting operation in GitHub workflows.
Why item_type is rated Low
This does not appear to be a standalone executable tool but rather a parameter descriptor for another operation ('add_project_item'). It has no independent action or side effect of its own. The description is uninformative as a tool - it describes a string parameter value. Classifying as Other with low confidence due to the ambiguous nature of this entry.
From the tool's definition The tool description says 'The item's type, either issue or pull_request. Required for add_project_item method.' - this appears to be a parameter/field descriptor rather than an independent tool.
Attacks that exploit this kind of access
The rule that runs item_type safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For item_type, this is the rule to start with:
item_type gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every item_type call is checked against it from then on.
Questions about item_type
The item's type, either issue or pull_request. Required for 'add_project_item' method. (string, optional). It is categorised as a Other tool in the GitHub MCP Server, which means it performs auxiliary operations.
Register the GitHub MCP server in PolicyLayer and add a rule for item_type: 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 GitHub. Nothing to install.
item_type is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the item_type 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 item_type. 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.
item_type is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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