Skip to main content
Glama
JaviMaligno

langfuse-mcp-extended

createScore

Create a score for a Langfuse trace or observation with numeric, boolean, or categorical types. Evaluate performance by providing a trace ID, score name, and value.

Instructions

Create a score for a trace or observation. Supports numeric, boolean, and categorical score types.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
traceIdYesID of the trace to score
observationIdNoOptional: ID of specific observation to score
nameYesName of the score (e.g., 'accuracy', 'relevance')
valueYesScore value - numeric for NUMERIC type, string for CATEGORICAL/BOOLEAN
dataTypeNoType of score value
commentNoOptional comment explaining the score
configIdNoOptional score config ID for validation
idNoOptional custom ID for idempotency
Behavior3/5

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

No annotations provided, so description carries full burden. It adds value by noting supported score types but omits idempotency, validation behavior, and side effects. Does not contradict schema.

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?

Two sentences, front-loaded with key purpose, no unnecessary words. Efficient and clear.

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

Completeness3/5

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

Lacks details on return value, interaction between traceId and observationId, and validation with configId. For a creation tool with 8 parameters and no output schema, more context would help agent usage.

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. Description reinforces dataType enum but adds minimal new semantic value beyond the schema.

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

Purpose5/5

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

Description clearly states action ('Create'), resource ('score for trace or observation'), and supported types ('numeric, boolean, and categorical'). This distinguishes it from sibling tools like createScoreConfig.

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?

Description implies use when scoring a trace or observation but offers no explicit guidance on when to choose this over alternatives or conditions to avoid. Sibling tools like createScoreConfig and deleteScore exist but are not mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/JaviMaligno/langfuse-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server