Low Risk

codeloop_visual_attribution

[CodeLoop] You MUST call codeloop_verify after every code change. If .codeloop/config.json is missing, call codeloop_init_project FIRST. Identify which commit, branch, and section introduced each visual diff. Use this tool when: - You want to understand why a screenshot diff appeared - You need ...

Bulk/mass operation — affects multiple targets

Part of the Codeloop MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call codeloop_visual_attribution to retrieve information from Codeloop 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 codeloop_visual_attribution 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.

codeloop.yaml
tools:
  codeloop_visual_attribution:
    rules:
      - action: allow

See the full Codeloop policy for all 29 tools.

Tool Name codeloop_visual_attribution
Category Read
MCP Server Codeloop MCP Server
Risk Level Low

View all 29 tools →

Agents calling read-class tools like codeloop_visual_attribution have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the codeloop_visual_attribution tool do? +

[CodeLoop] You MUST call codeloop_verify after every code change. If .codeloop/config.json is missing, call codeloop_init_project FIRST. Identify which commit, branch, and section introduced each visual diff. Use this tool when: - You want to understand why a screenshot diff appeared - You need to trace a visual regression to its source commit - You want a report of all visual changes across runs Returns: list of visual changes attributed to specific commits and sections.. It is categorised as a Read tool in the Codeloop MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on codeloop_visual_attribution? +

Add a rule in your Intercept YAML policy under the tools section for codeloop_visual_attribution. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Codeloop MCP server.

What risk level is codeloop_visual_attribution? +

codeloop_visual_attribution is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit codeloop_visual_attribution? +

Yes. Add a rate_limit block to the codeloop_visual_attribution 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.

How do I block codeloop_visual_attribution completely? +

Set action: deny in the Intercept policy for codeloop_visual_attribution. 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.

What MCP server provides codeloop_visual_attribution? +

codeloop_visual_attribution is provided by the Codeloop MCP server (codeloop-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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