query_binary_block
A read tool on the Pypi:labmcp Alicat MCP server.
This record as markdown: /tools/lab-instrument-mcps/query-binary-block.md
What query_binary_block does on Pypi:labmcp Alicat
AI agents call query_binary_block to retrieve information from Pypi:labmcp Alicat without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why query_binary_block is rated Low
Binary block query suggests data retrieval, but empty description severely limits confidence in classification.
From the tool's definition uninformative description
Attacks that exploit this kind of access
The rule that runs query_binary_block safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:labmcp Alicat, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For query_binary_block, this is the rule to start with:
query_binary_block 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 Pypi:labmcp Alicat, apply this rule, and every query_binary_block call is checked against it from then on.
Questions about query_binary_block
query_binary_block is a read tool on the Pypi:labmcp Alicat MCP server. It is categorised as a Read tool in the Pypi:labmcp Alicat MCP Server, which means it retrieves data without modifying state.
Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for query_binary_block: 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 Pypi:labmcp Alicat. Nothing to install.
query_binary_block 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 query_binary_block 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 query_binary_block. 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.
query_binary_block is provided by the Pypi:labmcp Alicat MCP server (pypi:labmcp-alicat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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