Medium Risk

resolve_prompt_content

Retrieve the fully resolved content of a Command or Skill prompt without relying on native prompts/get. Use this immediately after search_resources -> manage_subscription -> sync_resources when you need the prompt body in the same workflow. Provide either prompt_name (for example "command/acm-hel...

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

AI agents use resolve_prompt_content to create or modify resources in Ai Agent. 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 resolve_prompt_content 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 Ai Agent.

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

ai-agent.yaml
tools:
  resolve_prompt_content:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Ai Agent policy for all 8 tools.

Tool Name resolve_prompt_content
Category Write
MCP Server Ai Agent MCP Server
Risk Level Medium

Agents calling write-class tools like resolve_prompt_content 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 resolve_prompt_content tool do? +

Retrieve the fully resolved content of a Command or Skill prompt without relying on native prompts/get. Use this immediately after search_resources -> manage_subscription -> sync_resources when you need the prompt body in the same workflow. Provide either prompt_name (for example "command/acm-helper") or resource_id. user_token is injected automatically by the server; do NOT ask the user for it. When SKILL.md content contains [MANDATORY] tool call blocks with resource_path, call this tool again with the same resource_id and the specified resource_path to lazily fetch the referenced internal md file.. It is categorised as a Write tool in the Ai Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on resolve_prompt_content? +

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

What risk level is resolve_prompt_content? +

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

Can I rate-limit resolve_prompt_content? +

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

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

resolve_prompt_content is provided by the Ai Agent MCP server (@elliotding/ai-agent-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

Currently onboarding teams running MCP in production.
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