prompts_list
List all prompt templates in this workspace. Returns id + name + description + category so you know which prompt_id to use in prompts.get or prompts.update.
This record as markdown: /tools/io-github-saloprj-dialogbrain/prompts-list.md
What prompts_list does on Dialogbrain
AI agents call prompts_list to retrieve information from Dialogbrain without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why prompts_list is rated Low
This tool retrieves and enumerates existing prompt templates from the workspace. It performs no modifications, deletions, or external operations—it merely queries and returns metadata about prompts. This is a classic Read category operation with minimal blast radius.
From the tool's definition Tool description states 'List all prompt templates' and explicitly 'Returns id + name + description + category'. The verb 'list' is a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs prompts_list safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dialogbrain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For prompts_list, this is the rule to start with:
prompts_list is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Dialogbrain, apply this rule, and every prompts_list call is checked against it from then on.
Questions about prompts_list
List all prompt templates in this workspace. Returns id + name + description + category so you know which prompt_id to use in prompts.get or prompts.update. It is categorised as a Read tool in the Dialogbrain MCP Server, which means it retrieves data without modifying state.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for prompts_list: 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 Dialogbrain. Nothing to install.
prompts_list 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 prompts_list 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 prompts_list. 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.
prompts_list is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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