Fetch one bounded sample from production for structure research and validation.
AI agents call probe_entity_sample to retrieve information from Weclapp Api Knowledge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves data (Read category) from a live production system. While it performs no modifications, deletions, or financial operations, fetching production samples could expose sensitive data depending on what entities are sampled. The 'bounded sample' constraint limits scope, but production access still represents meaningful information disclosure risk.
From the tool's definition Tool description states: 'Fetch one bounded sample from production for structure research and validation.' The verb 'Fetch' and purpose of 'structure research and validation' indicate data retrieval without modification.
Attacks that exploit this kind of access
Fetch one bounded sample from production for structure research and validation. It is categorised as a Read tool in the Weclapp Api Knowledge MCP Server, which means it retrieves data without modifying state.
Register the Weclapp Api Knowledge MCP server in PolicyLayer and add a rule for probe_entity_sample: 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 Weclapp Api Knowledge. Nothing to install.
probe_entity_sample 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 probe_entity_sample 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 probe_entity_sample. 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.
probe_entity_sample is provided by the Weclapp Api Knowledge MCP server (serenmind/weclapp-api-knowledgebase-mcp). 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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