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get_fine_tuning_project

Read-only

The project workspace: the eight-step journey, the bound frozen dataset version, review progress, every training job's four independent facts (status, gate outcome, endpoint cleanup, spend) and the in-context approvals with their state. Gate elements appear as names and outcomes only; use get_gate_result for one verdict element by element.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesFine-tuning project ID from list_fine_tuning_projects
customerIdNo(Converra superadmin only) Target customer ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds materially useful behavior: that gate elements surface as names and outcomes only (a deliberate detail limitation), which is not derivable from the schema or annotations.

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 payload contents are front-loaded in one dense but well-formed sentence, followed by a short routing sentence for get_gate_result. Every clause carries information, though the opening enumeration is heavy.

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 appropriately carries the burden of describing returns by enumerating the five component groups. It is complete enough for an agent to call the tool and know what to expect, though it is silent on pagination or size characteristics.

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% with only two parameters (projectId, customerId), both already documented in the schema including the superadmin caveat. The description adds no syntax or format detail beyond that, 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 enumerates exactly what the resource contains — the eight-step journey, bound dataset version, review progress, training job facts, and approvals — so an agent can tell it apart from siblings like get_training_job or get_gate_result. The retrieval verb is only implied (carried by the name), so it stops short of a full verb+resource statement.

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?

It explicitly routes the agent to get_gate_result when only a single verdict element is needed, which is clear alternative guidance. It does not state broader when-to-use conditions (e.g., versus list_fine_tuning_projects or get_training_job), so it is clear context without full exclusions.

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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