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Run evals

rubrkit_run_evals

Start an async eval run. Requires evals:run for API keys. Set mode: "advanced" with baselineVersionId and candidateVersionId to run a statistically-backed A/B (repeats defaults to 3, max 5).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
repeatsNo
maxCasesNo
testCasesNo
auditRunIdNo
sourceFileIdNo
rubricVersionNo
candidateFileIdNo
artifactBundleIdYes
baselineVersionIdNo
candidateVersionIdNo
sourceFileVersionIdNo
sourceVersionNumberNo
candidateFileVersionIdNo
candidateVersionNumberNo

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description must disclose behavior. It reveals the async nature, permission requirement, and default repeats for advanced mode. However, it lacks details on return value, error handling, or state changes, making coverage partial.

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 brief at two sentences plus a clause, with no unnecessary words. It front-loads the core purpose. However, the third sentence is slightly dense with parentheses, but overall efficient.

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?

With 15 parameters, 1 required, no output schema, and no annotations, the description is too sparse. It fails to explain many parameters, return behavior, or standard mode, making it inadequate for complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It only explains mode, baselineVersionId, candidateVersionId, and repeats (defaults). It omits 11 other parameters like artifactBundleId (required), testCases, and maxCases, providing insufficient guidance.

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?

The description clearly states 'Start an async eval run,' which is a specific verb and resource. It distinguishes this tool from siblings like rubrkit_list_evals or rubrkit_read_eval by indicating it initiates a run asynchronously.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides usage context by requiring evals:run permission and explaining how to use advanced mode with baselineVersionId and candidateVersionId. However, it does not compare standard vs. advanced modes or mention when not to use this tool.

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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TDQS

B3.3/5.0
Disambiguation4/5

Most tools target distinct resource-action pairs, and descriptions clarify differences like soft vs hard delete or list bundles vs list versions. However, some names are similar (e.g., delete_artifact_bundle vs hard_delete_artifact_bundle), which could cause minor confusion.

Naming Consistency5/5

All tools follow a uniform rubrkit_verb_noun pattern with imperative verbs and snake_case, making them predictable and easy to navigate. No mixed conventions or inconsistencies.

Tool Count4/5

With 30 tools, the server is comprehensive but slightly heavy for a single-purpose MCP. The tools cover multiple sub-domains (bundles, files, audits, evals, conversions, docs), which justifies the count, but consolidation could reduce complexity.

Completeness4/5

The set covers CRUD for artifact bundles, file operations, audit/eval lifecycle, and API documentation. Minor gaps include missing bundle metadata update and file deletion, but core workflows are supported.

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