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trace_configure_export

Define a trace export pipeline with service name, endpoint, sampling rate, and tail sampling. Control which traces are sent for analysis.

Instructions

Configure trace export pipelines with sampling and filtering (Pro)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
service_nameYesName of the service
sampling_rateNoSampling rate between 0 and 1 (default 0.1)
tail_samplingNoEnable tail-based sampling
export_endpointNoExport endpoint URL
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It does not say whether the operation creates, updates, or replaces pipelines, whether it is destructive, whether a Pro plan is required beyond the parenthetical, or what the response looks like.

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 a single front-loaded sentence with no filler. Every word adds some value, and the '(Pro)' marker is compact but informative.

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

Completeness2/5

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

With 5 parameters, no annotations, and no output schema, the one-sentence description is too sparse. An agent cannot determine preconditions, whether the tool mutates existing infrastructure, or what successful invocation accomplishes beyond the generic act of configuring.

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 description coverage is 100%, so the baseline is 3. The phrase 'sampling and filtering' loosely maps to sampling_rate and tail_sampling, but the description adds no meaning beyond the schema for service_name, export_endpoint, or api_key.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific action and resource: 'Configure trace export pipelines' with sampling and filtering. The domain is clear and distinct from sibling trace tools like trace_setup_otel and trace_add_spans, though it does not explicitly differentiate itself from them.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as whether an OpenTelemetry setup must exist first, nor does it name any sibling tools or conditions for alternative choices.

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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