Low Risk

get_agent_prompt

Returns the prompt file for a specific agent role. Use this to load agent identity prompts before spawning specialists. Valid roles: project-manager, product-manager, ux-ui-designer, ux-researcher, frontend-developer, backend-developer, full-stack-developer, mobile-developer, devops-engineer, qa-...

Single-target operation

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

AI agents call get_agent_prompt to retrieve information from Agent Team without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_agent_prompt only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

io-github-richardlemmon-agent-team.yaml
tools:
  get_agent_prompt:
    rules:
      - action: allow

See the full Agent Team policy for all 46 tools.

Tool Name get_agent_prompt
Category Read
Risk Level Low

View all 46 tools →

Agents calling read-class tools like get_agent_prompt 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 Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the get_agent_prompt tool do? +

Returns the prompt file for a specific agent role. Use this to load agent identity prompts before spawning specialists. Valid roles: project-manager, product-manager, ux-ui-designer, ux-researcher, frontend-developer, backend-developer, full-stack-developer, mobile-developer, devops-engineer, qa-engineer, security-engineer, data-engineer, data-scientist.. It is categorised as a Read tool in the Agent Team MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_agent_prompt? +

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

What risk level is get_agent_prompt? +

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

Can I rate-limit get_agent_prompt? +

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

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

get_agent_prompt is provided by the Agent Team MCP server (agent-team-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Agent Team

Open source. One binary. Zero dependencies.

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

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