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kubeopsai

k8s-telemetry-mcp

by kubeopsai

get_trace

Retrieve a distributed trace by trace ID from Tempo to inspect request paths and diagnose performance problems.

Instructions

Retrieve a distributed trace by ID from Tempo.

Args: trace_id: Hexadecimal trace ID (16-32 characters)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trace_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.2.6

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. It clearly indicates a read operation ('Retrieve') from Tempo, but does not disclose response behavior, error cases, or access requirements. This is adequate for a simple lookup but not richly transparent.

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?

The description is one focused sentence plus a parameter note with no wasted words. It front-loads the action and provides just enough detail about the argument format.

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

Completeness4/5

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

For a single-parameter retrieval tool with an output schema, the description is nearly complete. It states the source, the action, and the required input format. It could add sibling differentiation or non-use conditions, but these are not critical for correct invocation.

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?

Schema description coverage is 0%, so the description must compensate. It adds meaningful format constraints — hexadecimal and 16-32 characters — that are absent from the schema, helping the agent validate input before calling the tool.

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 uses a specific verb ('Retrieve'), a concrete resource ('distributed trace'), and a source ('Tempo'), making the tool's function immediately clear. It is also easily distinguished from sibling tools focused on logs, metrics, and cluster health.

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?

Usage context is implied rather than explicit: it should be used when a distributed trace needs to be retrieved by ID. However, it does not state when not to use it or mention any alternatives, leaving some routing to inference.

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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