max_count
Maximum number of commits to show (default: 10) (number, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/max-count.md
What max_count does on GitHub
AI agents call max_count to retrieve information from GitHub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why max_count is rated Low
This is a pagination/filtering parameter for controlling the number of results returned from a commit query operation. It has no side effects and does not modify any data. It only affects the scope of data displayed in a read operation, making it a low-severity read category tool.
From the tool's definition Tool name 'max_count' with description 'Maximum number of commits to show' indicates a parameter that limits query results. This is a read-only parameter used to control pagination/display of commit data, not to retrieve data directly.
Attacks that exploit this kind of access
The rule that runs max_count 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 max_count, this is the rule to start with:
max_count is read-only, so it stays allowed. 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 max_count call is checked against it from then on.
Questions about max_count
Maximum number of commits to show (default: 10) (number, optional). It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.
Register the GitHub MCP server in PolicyLayer and add a rule for max_count: 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.
max_count is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the max_count 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 max_count. 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.
max_count 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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