create_prompt_template

// WHEN AI AGENTS USE THIS TOOL

AI agents use create_prompt_template to create or modify resources in CircleCI MCP Server. 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.

// WHY ENFORCE A POLICY ON CREATE_PROMPT_TEMPLATE

Without a policy, an AI agent could call create_prompt_template 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 CircleCI MCP Server.

// RECOMMENDED POLICY

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

circleci-public-mcp-server-circleci.yaml

tools:
  create_prompt_template:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full CircleCI MCP Server policy for all 16 tools.

// DETAILS

Tool Name create_prompt_template

Category Write

MCP Server CircleCI MCP Server MCP Server

Risk Level Medium

// MORE CIRCLECI MCP SERVER TOOLS

Execute rerun_workflow Execute run_evaluation_tests Execute run_pipeline Execute run_rollback_pipeline Read analyze_diff Read config_helper Read download_usage_api_data Read find_flaky_tests

View all 16 tools →

// WHAT CAN GO WRONG

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

Browse the full MCP Attack Database →

// OTHER WRITE TOOLS ACROSS MCP SERVERS

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

Firecrawl Web Scraping Server firecrawl_generate_llmstxt AbraFlexi contact_create AbraFlexi contact_update AbraFlexi evidence_create AbraFlexi evidence_update AbraFlexi invoice_issued_update

// RELATED READING

// FAQ

What does the create_prompt_template tool do? +

ABOUT THIS TOOL: - This tool is part of a toolchain that generates and provides test cases for a prompt template. - This tool helps an AI assistant to generate a prompt template based on one of the following: 1. feature requirements defined by a user - in which case the tool will generate a new prompt template based on the feature requirements. 2. a pre-existing prompt or prompt template that a user wants to test, evaluate, or modify - in which case the tool will convert it into a more structured and testable prompt template while leaving the original prompt language relatively unchanged. - This tool will return a structured prompt template (e.g. `template`) along with a context schema (e.g. ``contextSchema``) that defines the expected input parameters for the prompt template. - In some cases, a user will want to add test coverage for ALL of the prompts in a given application. In these cases, the AI agent should use this tool to generate a prompt template for each prompt in the application, and should check the entire application for AI prompts that are not already covered by a prompt template in the `./prompts` directory. WHEN SHOULD THIS TOOL BE TRIGGERED? - This tool should be triggered whenever the user provides requirements for a new AI-enabled application or a new AI-enabled feature of an existing application (i.e. one that requires a prompt request to an LLM or any AI model). - This tool should also be triggered if the user provides a pre-existing prompt or prompt template from their codebase that they want to test, evaluate, or modify. - This tool should be triggered even if there are pre-existing files in the `./prompts` directory with the `<relevant-name>.prompt.yml` convention (e.g. `bedtime-story-generator.prompt.yml`, `plant-care-assistant.prompt.yml`, `customer-support-chatbot.prompt.yml`, etc.). Similar files should NEVER be generated directly by the AI agent. Instead, the AI agent should use this tool to first generate a new prompt template. PARAMETERS: - params: object - prompt: string (the feature requirements or pre-existing prompt/prompt template that will be used to generate a prompt template. Can be a multi-line string.) - promptOrigin: "codebase" | "requirements" (indicates whether the prompt comes from an existing codebase or from new requirements) - model: string (the model that the prompt template will be tested against. Explicitly specify the model if it can be inferred from the codebase. Otherwise, defaults to `gpt-4.1-mini`.) - temperature: number (the temperature of the prompt template. Explicitly specify the temperature if it can be inferred from the codebase. Otherwise, defaults to 1.) EXAMPLE USAGE (from new requirements): { "params": { "prompt": "Create an app that takes any topic and an age (in years), then renders a 1-minute bedtime story for a person of that age.", "promptOrigin": "requirements" "model": "gpt-4.1-mini" "temperature": 1.0 } } EXAMPLE USAGE (from pre-existing prompt/prompt template in codebase): { "params": { "prompt": "The user wants a bedtime story about {{topic}} for a person of age {{age}} years old. Please craft a captivating tale that captivates their imagination and provides a delightful bedtime experience.", "promptOrigin": "codebase" "model": "claude-3-5-sonnet-latest" "temperature": 0.7 } } TOOL OUTPUT INSTRUCTIONS: - The tool will return... - a `template` that reformulates the user's prompt into a more structured format. - a ``contextSchema`` that defines the expected input parameters for the template. - a `promptOrigin` that indicates whether the prompt comes from an existing prompt or prompt template in the user's codebase or from new requirements. - The tool output -- the `template`, ``contextSchema``, and `promptOrigin` -- will also be used as input to the `recommend_prompt_template_tests` tool to generate a list of recommended tests that can be used to test the prompt template. . It is categorised as a Write tool in the CircleCI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_prompt_template? +

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

What risk level is create_prompt_template? +

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

Can I rate-limit create_prompt_template? +

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

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

create_prompt_template is provided by the CircleCI MCP Server MCP server (CircleCI-Public/mcp-server-circleci). 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.