cochange_context
AI agents call cochange_context to retrieve information from TempoGraph without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description, the naming pattern and context within TempoGraph—a code analysis engine—indicate this retrieves or computes change correlation data without modifying repositories or executing code.
From the tool's definition Tool name 'cochange_context' suggests querying co-change relationships or history in a code graph. The sibling tools (architecture, blast_radius, dependencies, diff_context, file_map, hotspots) are all analysis/query tools with no side effects.
Attacks that exploit this kind of access
cochange_context. It is categorised as a Read tool in the TempoGraph MCP Server, which means it retrieves data without modifying state.
Register the TempoGraph MCP server in PolicyLayer and add a rule for cochange_context: 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 TempoGraph. Nothing to install.
cochange_context 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 cochange_context 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 cochange_context. 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.
cochange_context is provided by the TempoGraph MCP server (tempograph). 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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