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langfuse-mcp-java

get_dataset_item

get_dataset_item
Destructive

Retrieve a specific dataset item by ID from Langfuse for observability analysis in LLM applications.

Instructions

Get a single dataset item by ID. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemIdYesDataset item ID
Behavior1/5

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

The description explicitly states 'Read-only' which directly contradicts the annotations (readOnlyHint: false, destructiveHint: true). This is a serious safety-critical inconsistency that misrepresents the tool's behavior.

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

Conciseness3/5

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

Extremely brief at two sentences, which would normally be efficient. However, the second sentence contains erroneous information, meaning not every sentence earns its place positively. Front-loading is acceptable but content is flawed.

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?

For a single-parameter retrieval tool, the description barely suffices, but fails critically by not addressing the destructive nature indicated in annotations. No mention of error cases (e.g., item not found) or return values leaves significant gaps.

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?

With 100% schema coverage, the schema adequately documents the itemId parameter. The description adds no additional semantic information about ID format, valid sources, or examples, meeting the baseline for high-coverage schemas.

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

Purpose3/5

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

States the specific action (Get) and resource (single dataset item by ID), distinguishing it from sibling list_dataset_items. However, the 'Read-only' claim creates confusion given the contradictory destructive annotations, slightly undermining clarity.

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?

Provides no guidance on when to use this tool versus alternatives like list_dataset_items, nor does it mention prerequisites such as needing a valid item ID from a dataset. The description assumes context without stating it.

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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