PREDICTIVE BUG DETECTION & RISK ANALYSIS ENGINE ML-inspired bug prediction capabilities: - Predict where bugs are likely to occur BEFORE they happen - Calculate bug probability scores for each file/function - Identify high-risk code changes before they cause issues - Detect bug-prone patterns ...
High parameter count (12 properties)
Part of the Atlas Pipeline MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call atlas_bug_oracle to retrieve information from Atlas Pipeline without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though atlas_bug_oracle only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
atlas_bug_oracle:
rules:
- action: allowSee the full Atlas Pipeline policy for all 31 tools.
Agents calling read-class tools like atlas_bug_oracle have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
PREDICTIVE BUG DETECTION & RISK ANALYSIS ENGINE ML-inspired bug prediction capabilities: - Predict where bugs are likely to occur BEFORE they happen - Calculate bug probability scores for each file/function - Identify high-risk code changes before they cause issues - Detect bug-prone patterns (complexity, coupling, churn) - Generate pre-emptive test recommendations - Track historical bug patterns - Provide confidence intervals for predictions - Integration with git history for churn analysis This is NOT a static analyzer - it predicts FUTURE bugs using ML-like heuristics.. It is categorised as a Read tool in the Atlas Pipeline MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for atlas_bug_oracle. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Atlas Pipeline MCP server.
atlas_bug_oracle 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 atlas_bug_oracle rule in your Intercept 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 Intercept policy for atlas_bug_oracle. 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.
atlas_bug_oracle is provided by the Atlas Pipeline MCP server (atlas-pipeline-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept