This record as markdown: /tools/io-github-devopam-mcpg/vector-range-search.md
What vector_range_search does on Mcpg
AI agents call vector_range_search to retrieve information from Mcpg without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why vector_range_search is rated Low
Vector range searches are commonly used to query and retrieve data from vector databases or indexes without modifying, deleting, or executing arbitrary code. Despite the empty description reducing confidence slightly, the naming convention strongly suggests a retrieval operation with no side effects, placing it in the Read category with low severity.
From the tool's definition Tool name 'vector_range_search' indicates a search operation that retrieves data within a specified range in a vector space. The 'search' verb typically denotes a read-only query operation.
Attacks that exploit this kind of access
The rule that runs vector_range_search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For vector_range_search, this is the rule to start with:
vector_range_search 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 Mcpg, apply this rule, and every vector_range_search call is checked against it from then on.
Questions about vector_range_search
vector_range_search is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.
Register the Mcpg MCP server in PolicyLayer and add a rule for vector_range_search: 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 Mcpg. Nothing to install.
vector_range_search 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 vector_range_search 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 vector_range_search. 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.
vector_range_search is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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