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JaviMaligno

langfuse-mcp-extended

listDatasetItems

Retrieve items from a dataset with optional filters by source trace or observation ID. Use pagination to browse results.

Instructions

List items in a dataset with optional filtering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetNameYesName of the dataset to list items from
pageNoPage number (1-indexed)
limitNoItems per page
sourceTraceIdNoFilter by source trace ID
sourceObservationIdNoFilter by source observation ID
Behavior2/5

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

With no annotations provided, the description carries the full burden. It does not disclose that this is a read-only operation or any side effects. The word 'list' implies read-only, but no explicit safety or behavioral context is given.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no waste. It efficiently communicates the core purpose, though it could be slightly more detailed without losing conciseness.

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 5 parameters and no output schema, the description is insufficient. It does not explain that results are paginated, what a dataset item is, or what the return format looks like. The tool has several filters, but the description only mentions 'optional filtering' generically.

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 description adds no additional meaning beyond what the schema already provides for each parameter.

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 the action ('List') and resource ('items in a dataset'). It distinguishes this tool from siblings like listDatasets and listDatasetRuns, though it does not explicitly differentiate from these similar tools.

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 (e.g., listDatasets or listDatasetRuns). No when-not-to-use or context for filtering is mentioned.

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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