Retrieve detailed information about a specific prompt. Returns complete prompt data including: - id: Unique prompt identifier - name: Prompt name/title - description: Prompt description - messages: The prompt template messages (array of role/content objects) - model: Default model for this prompt...
AI agents call get_prompt_detail to retrieve information from Respan MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries prompt configuration data without any side effects. It performs a simple read operation to fetch existing prompt details. There is no capability to modify, delete, execute, or create financial transactions.
From the tool's definition Tool name 'get_prompt_detail' and description 'Retrieve detailed information about a specific prompt' indicate a read-only operation.
Attacks that exploit this kind of access
Retrieve detailed information about a specific prompt. Returns complete prompt data including: - id: Unique prompt identifier - name: Prompt name/title - description: Prompt description - messages: The prompt template messages (array of role/content objects) - model: Default model for this prompt - temperature: Default temperature setting - max_tokens: Default max tokens setting - created_at: Creation timestamp - updated_at: Last modification timestamp - is_active: Whether the prompt is active - current_version: Currently active version - version_count: Total number of versions - tags: Array of tags - metadata: Custom metadata object The messages field contains the actual prompt template which may include: - System messages with instructions - User message templates with {{variables}} - Assistant message examples Use list_prompts first to find the prompt_id. It is categorised as a Read tool in the Respan MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Respan MCP Server MCP server in PolicyLayer and add a rule for get_prompt_detail: 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 Respan MCP Server. Nothing to install.
get_prompt_detail 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 get_prompt_detail 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 get_prompt_detail. 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.
get_prompt_detail is provided by the Respan MCP Server MCP server (respanai/respan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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