Retrieves the list of all the names of the indexers
AI agents call list_indexers to retrieve information from Azure Ai Search Python Preview without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata (indexer names) from Azure AI Search without creating, modifying, or deleting any resources. It is a read-only operation with no side effects, corresponding to the 'Read' category. Severity is low because listing indexers poses minimal risk—it reveals configuration but cannot be leveraged to compromise data or execute harmful operations directly.
From the tool's definition Tool name 'list_indexers' and description 'Retrieves the list of all the names of the indexers' indicate a query operation that returns existing data without modification or side effects.
Attacks that exploit this kind of access
Retrieves the list of all the names of the indexers. It is categorised as a Read tool in the Azure Ai Search Python Preview MCP Server, which means it retrieves data without modifying state.
Register the Azure Ai Search Python Preview MCP server in PolicyLayer and add a rule for list_indexers: 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 Azure Ai Search Python Preview. Nothing to install.
list_indexers 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 list_indexers 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 list_indexers. 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.
list_indexers is provided by the Azure Ai Search Python Preview MCP server (projectacetylcholine/mcp-server-azure-ai-search-python-preview). 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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