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get_traceflow_result

Check the status and observations of an existing NSX Traceflow to monitor network path analysis without waiting for completion.

Instructions

Get the current status and observations of an existing Traceflow.

Use this to check a previously initiated traceflow without waiting.

Args: traceflow_id: Traceflow ID from a previous run_traceflow call. target: Optional NSX Manager target name from config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
traceflow_idYes
targetNo
Behavior3/5

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

No annotations provided, so description carries full burden. It successfully conveys the async/polling nature ('without waiting') and implies read-only access to existing data. However, it lacks disclosure of error behaviors (e.g., what happens if traceflow_id is invalid or still in progress), cache characteristics, or return value structure.

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?

Uses clean docstring format with no filler. Front-loaded purpose statement followed by usage guideline, then structured Args section. Every sentence provides distinct value: purpose, usage pattern, and parameter semantics.

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?

Adequate for a 2-parameter polling tool but has gaps due to missing output schema. Description mentions 'status and observations' giving a hint about return content, but without output schema or annotations, it should ideally describe possible completion states (pending vs finished) or error scenarios.

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

Parameters4/5

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

With 0% schema description coverage, the description effectively compensates by documenting both parameters in the Args section: traceflow_id includes provenance context ('from a previous run_traceflow call') and target explains both its purpose ('NSX Manager target name') and source ('from config').

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 uses specific verb 'Get' with clear resource ('current status and observations of an existing Traceflow'). It distinguishes from sibling tool run_traceflow by specifying 'existing' and 'previously initiated', clarifying this retrieves results rather than creates them.

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?

Provides clear when-to-use guidance ('Use this to check a previously initiated traceflow without waiting'), indicating the polling/non-blocking nature. References run_traceflow in the Args section, implying the workflow relationship, though it could explicitly state 'Use run_traceflow to initiate, then use this to retrieve results' for maximum clarity.

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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