start_date

The start date of the status update in YYYY-MM-DD format. Used for 'create_project_status_update' method. (string, optional)

SERVERGitHub SOURCEoci:ghcr.io/aifity/omnigit-mcp:0.5.0

Low RISK CLASS

Category Other

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-aifity-omnigit-mcp/start-date.md

WHAT IT DOES

What start_date does on GitHub

AI agents call start_date as a supporting operation in GitHub workflows.

RISK

Why start_date is rated Low

This appears to be a parameter definition (a date string input) for another tool ('create_project_status_update') rather than a standalone tool with its own action. It has no independent side effects. If forced to classify, it would be a Write-adjacent parameter, but as described it does nothing on its own. Confidence is low because the description is atypical for a tool.

From the tool's definition The tool description says 'The start date of the status update in YYYY-MM-DD format. Used for \'create_project_status_update\' method.' - this appears to be a parameter/field descriptor rather than an actual tool

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs start_date 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 start_date, this is the rule to start with:

start_date Rate-limited

start_date gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_date": {
      "limits": [
        {
          "counter": "start_date_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every start_date call is checked against it from then on.

FAQ

Questions about start_date

What does the start_date tool do? +

The start date of the status update in YYYY-MM-DD format. Used for 'create_project_status_update' method. (string, optional). It is categorised as a Other tool in the GitHub MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on start_date? +

Register the GitHub MCP server in PolicyLayer and add a rule for start_date: 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.

What risk level is start_date? +

start_date is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit start_date? +

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

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

start_date 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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