Skip to main content
Glama

evaluation_status

Check the live evaluation progress and current metrics for your AI model fine-tuning by providing the evaluation ID.

Instructions

Get live status of an evaluation including progress and current metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
evaluation_idYesEvaluation ID (UUID)
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions 'live' status but does not describe side effects, authorization needs, latency, or consistency. Read-only is implied but not explicit.

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 a single, clear sentence. It is efficient without being overly terse, and it front-loads the key information.

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?

The description gives a high-level idea of the output (progress and metrics) but no detail on the structure or data fields. Given no output schema, more context would be helpful for an agent to interpret results.

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?

The single parameter evaluation_id is fully documented in the schema (100% coverage). The tool description adds no additional meaning to the parameter beyond what the schema already provides.

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 the action ('Get'), the resource ('live status of an evaluation'), and what it includes ('progress and current metrics'). It distinguishes from sibling tools like list_evaluations by focusing on live, individual status.

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 like show_evaluation or job_status. Only the purpose is stated, without contextual usage advice.

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/cerebrixos-org/tuning-engines-cli'

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