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avivsinai

langfuse-mcp

create_annotation_queue_item

Enqueue a trace or observation into a specified annotation queue for manual review, with optional status.

Instructions

Create an annotation queue item.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queue_idYesAnnotation queue ID
object_idYesObject ID to enqueue
object_typeYesObject type, for example TRACE or OBSERVATION
statusNoOptional status

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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 fails to mention side effects, idempotency, validation, or any operational details.

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

Conciseness2/5

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

The single-sentence description is too sparse and does not convey essential information, making it under-specified rather than concise.

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

Completeness1/5

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

Given the presence of an output schema and related sibling tools, the description is highly incomplete. It omits output details, relationships, and any usage context.

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%, and the description does not add meaning beyond the schema. Baseline score of 3 is appropriate.

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

Purpose2/5

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

Description is a tautology, merely restating the tool name without specifying the resource or distinguishing it from sibling tools like create_annotation_queue or create_annotation_queue_assignment.

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?

No guidance on when to use this tool versus alternatives, such as creating a queue or updating an item. The description lacks context for appropriate usage.

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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