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comet-ml

Opik MCP Server

by comet-ml

get-trace-stats

Retrieve trace statistics by specifying project ID, name, date range, or workspace for efficient analysis and monitoring on the Opik platform.

Instructions

Get statistics for traces

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateNoEnd date in ISO format (YYYY-MM-DD)
projectIdNoProject ID to filter traces
projectNameNoProject name to filter traces
startDateNoStart date in ISO format (YYYY-MM-DD)
workspaceNameNoWorkspace name to use instead of the default
Behavior2/5

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

With no annotations provided, the description carries full burden but only states it 'gets' statistics without disclosing behavioral traits like read-only nature, potential rate limits, authentication needs, or what happens if parameters are omitted. It fails to compensate for the lack of annotations.

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?

The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, making it easy to parse quickly without unnecessary elaboration.

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 the tool's complexity (5 parameters, no output schema, no annotations), the description is incomplete. It doesn't explain what statistics are returned, how they're formatted, or error conditions, leaving significant gaps for the agent to infer behavior.

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 parameters are fully documented in the schema. The description adds no meaning beyond the schema, such as explaining how parameters interact or default behaviors. Baseline 3 is appropriate as the schema does the heavy lifting.

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?

The description 'Get statistics for traces' states a clear verb ('Get') and resource ('statistics for traces'), but it's vague about what specific statistics are retrieved and doesn't distinguish from sibling tools like 'get-metrics' or 'get-trace-by-id'. It provides basic purpose but lacks specificity.

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 is provided on when to use this tool versus alternatives like 'get-metrics' or 'list-traces'. The description doesn't mention prerequisites, exclusions, or context for usage, leaving the agent without direction on tool selection.

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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