This record as markdown: /tools/io-github-devopam-mcpg/cross-table-similarity.md
What cross_table_similarity does on Mcpg
AI agents call cross_table_similarity 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 cross_table_similarity is rated Low
The name indicates a read-only analytical operation—computing similarity metrics between tables typically requires querying and comparing data without modification. Sibling tools like 'analyze_distance_metric', 'analyze_hnsw_recall', and 'analyze_query_plan' all appear to be analysis/read operations, supporting this classification.
From the tool's definition Tool name 'cross_table_similarity' suggests a query or analysis operation that compares data across tables to compute similarity metrics. No description provided to confirm destructive, write, or execute capabilities.
Attacks that exploit this kind of access
The rule that runs cross_table_similarity 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 cross_table_similarity, this is the rule to start with:
cross_table_similarity 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 cross_table_similarity call is checked against it from then on.
Questions about cross_table_similarity
cross_table_similarity 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 cross_table_similarity: 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.
cross_table_similarity 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 cross_table_similarity 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 cross_table_similarity. 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.
cross_table_similarity 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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