log-graph

Returns visual branch topology as structured data. Wraps

Server Python Dave-London/Pare
Category Read
Risk class Low
Parameters 00 required

What log-graph does on Python

AI agents call log-graph to retrieve information from Python without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why log-graph needs a policy

This tool retrieves git repository topology/history information and outputs it as structured data. It has no side effects on the repository state, does not execute arbitrary code, does not delete or modify data, and does not involve financial operations. This is a pure read operation typical of version control inspection tools.

From the tool's definition Tool name 'log-graph' and description indicate it 'Returns visual branch topology as structured data'. The verb 'returns' and the fact it wraps a git log command shows this retrieves and queries repository information without modification.

Questions about log-graph

What does the log-graph tool do? +

Returns visual branch topology as structured data. Wraps. It is categorised as a Read tool in the Python MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on log-graph? +

Register the Python MCP server in PolicyLayer and add a rule for log-graph: 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 Python. Nothing to install.

What risk level is log-graph? +

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

Can I rate-limit log-graph? +

Yes. Add a rate_limit block to the log-graph 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.

How do I block log-graph completely? +

Set action: deny in the PolicyLayer policy for log-graph. 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 log-graph? +

log-graph is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

log-graph is one line of Python's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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