Checked language for AI-written agent workflows: limits, cost and data flows known before running.
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Scored across 6 tools
Each tool has a clearly distinct purpose: checking, authority diffing, formatting, examples, guide, and offline fixture execution. There is little risk of an agent confusing one tool for another.
All tools share the remit_ prefix and snake_case, but the suffixes mix verb forms (check, format, run_fixtures) with noun phrases (authority_diff, examples, guide). The pattern is readable but not fully predictable.
Six tools is well-scoped for a language-tooling server, with each tool covering a distinct operation. There is no obvious redundancy or missing bulk.
The set covers core workflows: checking, formatting, authority comparison, examples, documentation, and offline fixture execution. Minor gaps exist around project scaffolding or host-interface discovery, but agents can work around them.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Deterministic runtime safety for AI agents: scan PII, gate tool actions, verify LLM output.
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
See, price, and control every tool call your AI agents make: policy checks, cost, and audit tools.
Security gateway for AI agents: policy, approval, and audited execution, no secrets shared.
Add one secure layer between your agents and this server.
