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Arize-ai

@arizeai/phoenix-mcp

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by Arize-ai

get-trace

Retrieve a trace by its exact trace ID from a project. Returns the trace object with all spans.

Instructions

Get a single trace by its exact trace ID within a project.

Example usage: Show me trace "abc123def456" from project "default"

Expected return: A trace object with all spans that belong to the trace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_identifierNo
trace_idYes
include_annotationsNo
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It indicates a read operation and describes the return object ('A trace object with all spans that belong to the trace'). It does not discuss error handling, authorization, or side effects, but for a simple read tool it is adequate.

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 short, front-loaded with the core purpose, and includes a helpful example. Every sentence serves a purpose with no wasted words.

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 three parameters, zero schema description coverage, no output schema, and no annotations, the description covers the main functionality and return value but omits details about one parameter and error behavior. It is functional but not fully comprehensive.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must add meaning. It explains 'project_identifier' and 'trace_id' implicitly via the example but does not mention the 'include_annotations' parameter. Two of three parameters benefit from the description, but one is entirely undocumented.

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 'Get a single trace by its exact trace ID within a project'. The verb ('Get') and resource ('trace') are specific, and the scope ('by exact trace ID within a project') distinguishes it from siblings like 'list-traces'.

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?

The description includes an example ('Show me trace abc123def456 from project default') that implies when to use: when you have a specific trace ID. However, it does not explicitly state when not to use or mention alternatives.

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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