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fine-tuning-os

fine-tuning-os

by Casius999
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

_mcp_log_project_event

Log a timestamped event to the project events.jsonl for tracking fine-tuning operations.

Instructions

Append a timestamped event to the project events.jsonl log.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "project_id": "<project_id>",
      "event_type": "<event_type>",
      "payload": "<payload>"
    },
    "name": "_mcp_log_project_event"
  }
}

Input Schema

NameRequiredDescriptionDefault
payloadYes
event_typeYes
project_idYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the basic append action, omitting side effects (e.g., whether it creates the file if missing), permissions, or return value. The existence of an output schema is not leveraged.

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?

Single, direct sentence with no superfluous words. The description is efficiently front-loaded with the core action.

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 presence of 3 parameters (all required, one nested), no annotations, and an output schema, the description is insufficient. It does not cover parameter constraints, return format, or edge cases, leaving the agent without critical invocation details.

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 description coverage is 0%, yet the description adds no explanation for any of the three parameters. 'payload', 'event_type', and 'project_id' remain opaque despite being required, and the nested object nature of payload is not clarified.

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 (append) and the resource (project events.jsonl log), with the detail 'timestamped' implying automatic timestamping. It distinguishes itself from siblings as a dedicated logging tool.

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, nor when not to use it. The description is purely declarative without any usage context.

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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