AI agents call find_dead_code to retrieve information from Synapse without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about unreachable or unused code segments from the indexed C# codebase. It has no side effects, cannot create or delete code, and fits the pattern of read-only static analysis queries common in code intelligence platforms.
From the tool's definition Tool name 'find_dead_code' indicates a search/analysis operation with no mutations. The description is empty, but sibling tools like 'find_callees', 'find_usages', and 'find_entry_points' are clearly read-only query operations.
Attacks that exploit this kind of access
find_dead_code. It is categorised as a Read tool in the Synapse MCP Server, which means it retrieves data without modifying state.
Register the Synapse MCP server in PolicyLayer and add a rule for find_dead_code: 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 Synapse. Nothing to install.
find_dead_code 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 find_dead_code 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 find_dead_code. 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.
find_dead_code is provided by the Synapse MCP server (synappscodecomprehension/synapps). 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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