Skip to main content
Glama

list_fine_tuning_projects

Read-only

Fine-tuning projects and each one's next journey step. A project is one pass: one agent, one objective, one frozen dataset version, one candidate plus one diagnosed rerun. Answers: 'what fine-tuning is in flight?', 'what is the next step on this project?'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdNoFilter to one agent (optional)
lifecycleNoFilter to active or closed projects (optional)
customerIdNo(Converra superadmin only) Target customer ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds a domain model of a project (one agent, one objective, one frozen dataset version, one candidate plus one diagnosed rerun), which is useful context but not behavioral traits like pagination, ordering, or result shape.

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?

Front-loaded with the resource and its scope, followed by two clarifying questions. The project definition is somewhat lengthy but earns its place by disambiguating the domain term; no filler sentences.

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

Completeness4/5

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

With no output schema, the description compensates by stating what a project comprises and that the next journey step is included. For a read-only list tool with fully documented parameters, this is nearly complete; only pagination/ordering behavior is unaddressed.

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 the schema already documents agentId, lifecycle, and the superadmin-only customerId. The description adds no parameter-level detail such as filter combination behavior, so the baseline 3 applies.

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

Purpose4/5

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

The description names the resource (fine-tuning projects) and adds a meaningful scope unit — each project's 'next journey step' — plus a definition of what a project is. The list semantics are carried by the name, and it is clearly distinguishable from the singular get_fine_tuning_project sibling.

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?

The two quoted questions ('what fine-tuning is in flight?', 'what is the next step on this project?') imply the intended use cases, but there is no explicit when-to-use versus alternatives (e.g. get_fine_tuning_project for a single project) and no stated conditions or exclusions.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources