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JaviMaligno

langfuse-mcp-extended

createDatasetItem

Add or update a dataset item in Langfuse using dataset name. Supports idempotent updates with a custom ID and linking to source trace or observation.

Instructions

Create or upsert a dataset item. Use id parameter for idempotent updates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetNameYesName of the dataset to add the item to
inputNoThe input for this dataset item (any JSON value)
expectedOutputNoThe expected output for evaluation
metadataNoAdditional metadata
sourceTraceIdNoLink to source trace that generated this item
sourceObservationIdNoLink to source observation (requires sourceTraceId)
idNoCustom ID for idempotent upsert
statusNoItem status (defaults to ACTIVE)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions upsert behavior, but lacks details on side effects (e.g., conflict resolution), return values, or required permissions. The upsert indication is helpful but insufficient.

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 extremely concise with two sentences: one stating purpose and one providing a usage tip. Every word adds value, no redundancy.

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?

Given the complexity (8 parameters, no output schema, no annotations), the description is minimal. It lacks context about return values, error conditions, prerequisites (e.g., dataset must exist), and differentiation from similar sibling tools like createDatasetRunItem.

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 coverage is 100%, with each parameter described. The description adds value by explaining the purpose of the id parameter for idempotent updates, but does not enrich other parameter semantics beyond the schema.

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 clearly states 'Create or upsert a dataset item,' specifying the verb and resource. It distinguishes from sibling tools like createDataset (creates dataset itself) and createDatasetRunItem, though it could be more explicit.

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?

The description provides guidance on using the id parameter for idempotent updates, but it does not specify when to use this tool versus alternatives or mention any prerequisites or conditions.

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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