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thousandeyes-network-data-from-traceid

Obtain ThousandEyes Network & App Synthetics data given a trace ID. Use when a user has a `traceId`, ThousandEyes MCP is available, and one or more Observability Platform integrations or equivalent tooling paths are available to query every relevant Observability Platform for the trace, extract `tracestate` or `w3c.tracestate`, decode the embedded ThousandEyes permalink, recover the ThousandEyes account/test/agent/execution identifiers, and fetch the matching ThousandEyes network data.

88

1.81x
Quality

81%

Does it follow best practices?

Impact

100%

1.81x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Evaluation results

100%

20%

TraceState Parser Utility

W3C tracestate parsing and ThousandEyes identifier extraction

Criteria
Without context
With context

W3C comma split

100%

100%

te= vendor selection

100%

100%

te= prefix removal

100%

100%

URL-decode before parsing

100%

100%

accountId from __a

0%

100%

executionTime from startTime

0%

100%

testId and agentId passthrough

100%

100%

Error: missing te= entry

100%

100%

Error: still-encoded payload

100%

100%

Error: missing required identifiers

100%

100%

parse_results.json produced

100%

100%

100%

82%

Network Incident Investigation Runbook

Multi-platform trace investigation runbook and workflow documentation

Criteria
Without context
With context

Tool discovery first

100%

100%

Query all platforms

0%

100%

Platform classification

0%

100%

Fallback correlation

37%

100%

Hit/miss/blocked per platform

12%

100%

Multi-level attribute search

25%

100%

Both tracestate names

0%

100%

W3C te= extraction

0%

100%

URL-decode step

0%

100%

All four TE identifiers

12%

100%

Multi-platform identifier comparison

0%

100%

Complete report fields

37%

100%

Missing data stop rules

37%

100%

100%

32%

Network Degradation Investigation from Trace Export

Trace data analysis to recover ThousandEyes identifiers and produce investigation report

Criteria
Without context
With context

Correct attribute name

100%

100%

Span-level attribute found

100%

100%

te= entry extracted

100%

100%

URL-decoded payload

100%

100%

accountId from __a

0%

100%

executionTime from startTime

0%

100%

testId and agentId correct

75%

100%

accountId used in TE query

100%

100%

Correct TE tool names

0%

100%

Per-platform coverage

100%

100%

Fallback correlation noted

100%

100%

identifiers.json produced

66%

100%

Repository
thousandeyes/thousandeyes-ai-agents-toolkit
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

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