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veto_drift_check

Read-only

Detects loop indicators (consecutive failures, duplicate errors) in the tool execution trace and generates a remediation plan.

Instructions

Compounding-error checkpoint: queries the session's tool execution trace to detect loop indicators (consecutive failures, duplicate errors, tool repetition) and calls the debugger agent to formulate a concrete loop-breaker remediation plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional. Maximum trace log rows to retrieve and analyze (default: 50).
session_idNoOptional. UUID of the session to check. Defaults to the current active session.
project_dirNoOptional. Absolute path to the project root.
agent_responseNoPhase 2 response from the host AI (JSON). Pass this back when prompted by the server to complete the agentic loop.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate readOnlyHint=true, but the description states it 'calls the debugger agent' to formulate a plan, which may imply a side effect. This creates potential contradiction. The description adds context beyond annotations but is not fully transparent about side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that clearly conveys the purpose without unnecessary words. It could be slightly more concise but is well-structured and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, and the description does not explicitly state the return value or behavior when no loop is detected. It covers the main purpose but lacks details on edge cases or error handling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters. The description adds no additional parameter information beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool queries session execution trace for loop indicators and triggers a debugger agent for remediation. It distinguishes itself from sibling tools like veto_audit_log or veto_health by focusing on loop detection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage as a checkpoint for error loops but does not explicitly state when to use versus alternatives or when not to use. With many sibling tools, guidance on selection is missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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