generate_changelog

Generate changelog from git history with semantic versioning and categorization

Server Autonomous Documentation MCP perryjr1444-ux/autonomous-docs-mcp
Category Read
Risk class Low
Parameters 00 required

What generate_changelog does on Autonomous Documentation MCP

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

Why generate_changelog needs a policy

The tool reads git history and generates a changelog document. It does not modify code, delete data, or trigger external operations. The generation of a changelog is a read/analysis operation on existing git metadata, and the output is documentation content. Severity is low because misuse would at worst produce incorrect or misleading changelog text, with no destructive side effects.

From the tool's definition 'Generate changelog from git history' — reads git history to produce output, with 'semantic versioning and categorization' describing analysis/formatting of existing data

Questions about generate_changelog

What does the generate_changelog tool do? +

Generate changelog from git history with semantic versioning and categorization. It is categorised as a Read tool in the Autonomous Documentation MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on generate_changelog? +

Register the Autonomous Documentation MCP server in PolicyLayer and add a rule for generate_changelog: 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 Autonomous Documentation MCP. Nothing to install.

What risk level is generate_changelog? +

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

Can I rate-limit generate_changelog? +

Yes. Add a rate_limit block to the generate_changelog 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 generate_changelog completely? +

Set action: deny in the PolicyLayer policy for generate_changelog. 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 generate_changelog? +

generate_changelog is provided by the Autonomous Documentation MCP server (perryjr1444-ux/autonomous-docs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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