state_reason
Reason for the state change. Ignored unless state is changed. (string, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/state-reason.md
What state_reason does on GitHub
AI agents call state_reason as a supporting operation in GitHub workflows.
Why state_reason is rated Low
The description reads like a parameter definition (a string field for providing a reason when changing state), not an independent tool that performs an action. It has no clear side effect on its own. Confidence is low because the description is uninformative as a tool description, making classification uncertain. Categorized as Other since it doesn't independently read, write, execute, destroy, or move money.
From the tool's definition Tool description: 'Reason for the state change. Ignored unless state is changed. (string, optional)' — this appears to be a parameter descriptor, not a standalone tool with its own action.
Attacks that exploit this kind of access
The rule that runs state_reason 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 state_reason, this is the rule to start with:
state_reason 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 state_reason call is checked against it from then on.
Questions about state_reason
Reason for the state change. Ignored unless state is changed. (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 state_reason: 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.
state_reason 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 state_reason 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 state_reason. 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.
state_reason 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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