Return the single best deterministic declaration site for a known identifier. Use this tool when you need to: - Jump straight to the canonical declaration of a function, class, type, interface, or constant - Get one definitive answer (file, line, kind, snippet) rather than a ranked list - Complem...
AI agents call symbol_definition to retrieve information from Context Engine MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only tool that queries a codebase index to locate and return metadata about symbol declarations. It has no side effects, does not execute code, does not modify state, and does not delete data. The severity is low because misuse by an AI agent would only result in retrieving incorrect location information, with no blast radius beyond the agent's decision-making.
From the tool's definition The tool 'returns' and 'retrieves' information about 'the canonical declaration' of identifiers. The description emphasizes getting 'one definitive answer (file, line, kind, snippet)' without modifying data.
Documented attack patterns abuse exactly the kind of access symbol_definition gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Context Engine MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for symbol_definition:
{
"version": "1",
"default": "deny",
"tools": {
"symbol_definition": {}
}
} symbol_definition is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return the single best deterministic declaration site for a known identifier. Use this tool when you need to: - Jump straight to the canonical declaration of a function, class, type, interface, or constant - Get one definitive answer (file, line, kind, snippet) rather than a ranked list - Complement symbol_search (ranked) and symbol_references (non-declaration usages). It is categorised as a Read tool in the Context Engine MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Context Engine MCP Server MCP server in PolicyLayer and add a rule for symbol_definition: 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 Context Engine MCP Server. Nothing to install.
symbol_definition 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 symbol_definition 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 symbol_definition. 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.
symbol_definition is provided by the Context Engine MCP Server MCP server (kirachon/context-engine). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Context Engine MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
50 Context Engine MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.