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get_trace_decisions

Extract normalized decision events from a trace. Use this to inspect proposal, override, approval, or binding steps in a workflow.

Instructions

Extract normalized decision.* events from one trace. Use this when a workflow includes proposal, override, approval, or binding steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trace_idYesThe trace ID to inspect for decision events
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It does not mention side effects, authentication needs, rate limits, or what happens if trace_id is invalid. The term 'normalized' hints at transformation but is insufficient for full transparency.

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

Conciseness5/5

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

Two sentences with no wasted words: first states action, second gives usage guidance. Front-loaded and efficient.

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?

Given the tool's simplicity (one parameter, no annotations, no output schema), the description covers purpose and usage but lacks behavioral details and output hints. Adequate but not fully complete.

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 coverage is 100%, so the schema already fully describes the trace_id parameter. The description adds no new semantic information beyond confirming its role. Baseline score of 3 is appropriate.

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?

Description clearly states verb 'Extract' and resource 'normalized decision.* events from one trace', specifying it focuses on decision events like proposal, override, approval, or binding steps. This distinguishes it from sibling tools like get_trace (full trace) and query_traces (search).

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

Usage Guidelines4/5

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

Explicitly says 'Use this when a workflow includes proposal, override, approval, or binding steps', providing clear context for invocation. While it doesn't explicitly state when not to use or name alternatives, the positive guidance is sufficient for a simple tool.

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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