Assembles everything needed to edit code at a specific location in a single call. USE WHEN: you are about to modify, refactor, or fix code and need full context before making changes. PREFER THIS over codegraph_get_ai_context when you are about to write or modify code — it includes callers (impac...
Risk signalsAccepts URL/endpoint input (uri)
Part of the Codegraph server.
Free to start. No card required.
AI agents call codegraph_get_edit_context to retrieve information from Codegraph 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 codegraph_get_edit_context 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.
{
"version": "1",
"default": "deny",
"tools": {
"codegraph_get_edit_context": {}
}
}See the full Codegraph policy for all 38 tools.
These attack patterns abuse exactly the kind of access codegraph_get_edit_context gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Assembles everything needed to edit code at a specific location in a single call. USE WHEN: you are about to modify, refactor, or fix code and need full context before making changes. PREFER THIS over codegraph_get_ai_context when you are about to write or modify code — it includes callers (impact), tests (what to update), and git history (recent context) that get_ai_context does not. Use get_ai_context instead when you only need to understand or explain code. Returns 5 sections: (1) symbol — full source code of the function/method at the given line, (2) callers — functions that call this symbol (to assess impact of changes), (3) tests — related test functions (to know what to update/run), (4) memories — relevant debug notes, architectural decisions, and known issues, (5) recentChanges — recent git commits that touched this file. EXAMPLE: Before modifying a function's signature, call this to see all callers that would break, tests that need updating, and whether someone recently changed this code. Token budget controls total context size with priority: symbol > callers > tests > memories > git history. Requires uri and line parameters.. It is categorised as a Read tool in the Codegraph MCP Server, which means it retrieves data without modifying state.
Register the Codegraph MCP server in PolicyLayer and add a rule for codegraph_get_edit_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 Codegraph. Nothing to install.
codegraph_get_edit_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 codegraph_get_edit_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 codegraph_get_edit_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.
codegraph_get_edit_context is provided by the Codegraph MCP server (codegraph-ai/CodeGraph). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 38 Codegraph tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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