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langfuse-mcp-java

update_annotation_queue_item

update_annotation_queue_item
Destructive

Update the status of an annotation queue item to PENDING or COMPLETED in Langfuse's observability toolkit for LLM applications.

Instructions

Updates the status of an annotation queue item. status values: PENDING | COMPLETED. Both queueId and itemId are required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queueIdYesThe annotation queue ID. Required.
itemIdYesThe annotation queue item ID. Required.
statusYesNew status: PENDING | COMPLETED. Omit to leave status unchanged.
Behavior3/5

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

Annotations already indicate destructiveHint=true and readOnlyHint=false. The description adds value by specifying the valid status values (PENDING | COMPLETED) and implying a state machine, but does not elaborate on side effects, failure modes, or what 'destructive' entails in this context.

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 appropriately concise with three short, front-loaded sentences. Each sentence serves a distinct purpose (action definition, value constraints, required fields), though the last two largely mirror schema information.

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

Completeness4/5

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

Given the presence of comprehensive annotations and 100% schema coverage, the description provides sufficient context for the tool's limited complexity. It covers the domain-specific logic (status values) that structured fields cannot express, though it could note that queueId/itemId typically come from list/get operations.

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 description coverage, the baseline is 3. The description repeats the valid status values and required fields that are already documented in the parameter schemas, adding no new semantic meaning beyond what the schema provides.

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 specific action (Updates) and resource (annotation queue item status). However, it does not explicitly differentiate from siblings like 'create_annotation_queue_item' or 'delete_annotation_queue_item' within the text itself, relying on the tool name for distinction.

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 constraints (valid status values, required parameters) but lacks explicit guidance on when to use this tool versus alternatives like create_annotation_queue_item or delete_annotation_queue_item. It tells how to use it, not when to choose 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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