Medium Risk

send_chaser

Call this when the user wants to send a follow-up reminder or chaser email to someone about an overdue or upcoming action. The AI client drafts the message (free). Actually SENDING the email requires a Gantta plan. If the user is on trial with credits, this will work. If trial ended, prompt them ...

Part of the Gantta MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

gantta/gantta-mcp Write Risk 2/5

AI agents use send_chaser to create or modify resources in Gantta. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call send_chaser repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Gantta.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

gantta-gantta-mcp.yaml
tools:
  send_chaser:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Gantta policy for all 26 tools.

Tool Name send_chaser
Category Write
MCP Server Gantta MCP Server
Risk Level Medium

View all 26 tools →

Agents calling write-class tools like send_chaser have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the send_chaser tool do? +

Call this when the user wants to send a follow-up reminder or chaser email to someone about an overdue or upcoming action. The AI client drafts the message (free). Actually SENDING the email requires a Gantta plan. If the user is on trial with credits, this will work. If trial ended, prompt them to sign up.. It is categorised as a Write tool in the Gantta MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on send_chaser? +

Add a rule in your Intercept YAML policy under the tools section for send_chaser. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Gantta MCP server.

What risk level is send_chaser? +

send_chaser is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit send_chaser? +

Yes. Add a rate_limit block to the send_chaser rule in your Intercept 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 send_chaser completely? +

Set action: deny in the Intercept policy for send_chaser. 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 send_chaser? +

send_chaser is provided by the Gantta MCP server (gantta/gantta-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Gantta

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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