tool chain planner

The problem

Agents often fail by firing tools in the wrong order, writing to targets before reading them, or proceeding on stale memory. Without a sequence plan, a single failed step in a multi-tool chain can leave your system in a corrupted or inconsistent state.

What it does

• Inventories available tool schemas to map inputs, outputs, costs, and side effects.
• Generates a dependency graph to separate parallelizable tasks from serial dependencies.
• Enforces a "Read-Before-Write" discipline to prevent blind state changes.
• Assigns concrete pre-flight checks and fallback patterns (like snapshots or retries) to every call.
• Defines verification gates for each step using specific assertions rather than generic success codes.

Why this beats prompting it yourself

General prompts usually lead to "optimistic execution" where the agent assumes every tool call will succeed. This skill forces a rigorous planning protocol that treats every handoff as a failure point, building in safety checks and state-recovery logic that manual prompting rarely covers consistently.

Use cases

• Executing complex API orchestrations where step 3 depends on the verified output of step 1.
• Managing destructive operations like database deletions or file system overrides.
• Handling financial transactions or cloud resource provisioning that require pre-approval.
• Debugging failed agent runs by reviewing the published execution ledger vs. the intended plan.

Known limitations

Does not invent new tools; it only organizes tools already available to the agent. It will not second-guess user intent, only the safety and order of the execution.