modified
Filter by publish or update date or date range (ISO 8601 date or range). (string, optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/modified.md
What modified does on GitHub
AI agents call modified 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 modified is rated Low
This appears to be a filter parameter used to narrow results by date, not a standalone tool that performs an action. It is purely a read/query modifier with no side effects. Confidence is low because the description is minimal and it's unclear how this 'tool' is invoked independently.
From the tool's definition 'Filter by publish or update date or date range (ISO 8601 date or range)' — this is a filter/query parameter
Attacks that exploit this kind of access
The rule that runs modified 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 modified, this is the rule to start with:
modified 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 modified call is checked against it from then on.
Questions about modified
Filter by publish or update date or date range (ISO 8601 date or range). (string, 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 modified: 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.
modified 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 modified 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 modified. 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.
modified 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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