Manage AWS Glue classifiers to determine data formats and schemas. This tool provides operations for AWS Glue classifiers, which help determine the schema of your data. Classifiers analyze data samples to infer formats and structures, enabling accurate schema creation when crawlers process your ...
Single-target operation
Part of the Amazon Data Processing MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use manage_aws_glue_classifiers to create or modify resources in Amazon Data Processing 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.
Without a policy, an AI agent could call manage_aws_glue_classifiers 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 Amazon Data Processing MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
manage_aws_glue_classifiers:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Amazon Data Processing MCP Server policy for all 36 tools.
Agents calling write-class tools like manage_aws_glue_classifiers have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Manage AWS Glue classifiers to determine data formats and schemas. This tool provides operations for AWS Glue classifiers, which help determine the schema of your data. Classifiers analyze data samples to infer formats and structures, enabling accurate schema creation when crawlers process your data sources. ## Requirements - The server must be run with the `--allow-write` flag for create, delete, and update operations - Appropriate AWS permissions for Glue classifier operations ## Operations - **create-classifier**: Create a new custom classifier (CSV, JSON, XML, or GROK) - **delete-classifier**: Remove an existing classifier - **get-classifier**: Retrieve detailed information about a specific classifier - **get-classifiers**: List all available classifiers - **update-classifier**: Modify an existing classifier's configuration ## Example ```python # Create a CSV classifier { 'operation': 'create-classifier', 'classifier_definition': { 'CsvClassifier': { 'Name': 'my-csv-classifier', 'Delimiter': ',', 'QuoteSymbol': '"', 'ContainsHeader': 'PRESENT', 'Header': ['id', 'name', 'date', 'value'], 'AllowSingleColumn': false, } }, } ``` Args: ctx: MCP context operation: Operation to perform classifier_name: Name of the classifier classifier_definition: Classifier definition for create-classifier and update-classifier operations max_results: Maximum number of results to return for get-classifiers operation next_token: Pagination token for get-classifiers operation Returns: Union of response types specific to the operation performed. It is categorised as a Write tool in the Amazon Data Processing MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for manage_aws_glue_classifiers. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Amazon Data Processing MCP Server MCP server.
manage_aws_glue_classifiers is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the manage_aws_glue_classifiers 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.
Set action: deny in the Intercept policy for manage_aws_glue_classifiers. 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.
manage_aws_glue_classifiers is provided by the Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.