Run TLC model-checking on a TLA+ spec with -generateSpecTE to produce a Trace Explorer spec (SpecTE.tla / SpecTE.cfg). This is useful for debugging counter-examples: it generates a standalone spec that replays the error trace.
AI agents invoke tlc_generate_trace_spec to trigger actions in Tlaplus. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool runs an external process (TLC model checker) and writes output files to disk. It spans Execute and Write; Execute is more severe and accurately describes triggering an external toolchain process whose effects depend on the input spec.
From the tool's definition 'Run TLC model-checking on a TLA+ spec with -generateSpecTE to produce a Trace Explorer spec' — this executes the TLC model checker and generates output files (SpecTE.tla / SpecTE.cfg)
Attacks that exploit this kind of access
Run TLC model-checking on a TLA+ spec with -generateSpecTE to produce a Trace Explorer spec (SpecTE.tla / SpecTE.cfg). This is useful for debugging counter-examples: it generates a standalone spec that replays the error trace. It is categorised as a Execute tool in the Tlaplus MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Tlaplus MCP server in PolicyLayer and add a rule for tlc_generate_trace_spec: 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 Tlaplus. Nothing to install.
tlc_generate_trace_spec is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the tlc_generate_trace_spec 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 tlc_generate_trace_spec. 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.
tlc_generate_trace_spec is provided by the Tlaplus MCP server (richashworth/tlaplus-mcp). 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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