Skip to main content
Glama
EgzonArifi

Povio Worklog MCP Server

by EgzonArifi

generate_and_post_worklog

Generate a worklog from git commits and post it to Povio, with AI-enhanced descriptions, by specifying time range and hours.

Instructions

Generate worklog from git commits AND post it to Povio in one step. Supports both project ID and project name. AI enhancement is ENABLED BY DEFAULT - generation will pause for AI to create an enhanced description before posting.

Supported date formats:

  • "today", "yesterday"

  • Specific dates: "2024-10-28" (YYYY-MM-dd), "10/28/2024" (MM/dd/YYYY), "28.10.2024" (dd.MM.YYYY)

Trigger examples:

  • "wl FaceFlip 8"

  • "wl Autobiography 4"

  • "wl yesterday FaceFlip 6"

  • "wl 2024-10-28 FaceFlip 8"

  • "generate and post worklog for today with 8 hours"

  • "generate and post to FaceFlip, 5 hours"

  • "create and submit worklog to Autobiography for 3 hours"

  • "wl post [project] [hours]"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursYesNumber of hours worked
projectIdNoPovio project ID (optional, uses DEFAULT_PROJECT_ID from environment if not provided)
timeframeYesDate format: "today", "yesterday", or specific date like "2024-10-28" (YYYY-MM-dd)
repositoryNoPath to git repository (optional, defaults to current directory)
projectNameNoProject name (alternative to projectId, will be resolved automatically)
enhanceWithAINoAI enhancement is enabled by default. Set to false to disable and auto-post without AI enhancement (not recommended)
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses that AI enhancement is enabled by default and pauses posting for AI to create an enhanced description, and that setting enhanceWithAI to false disables this (not recommended). This adds valuable behavioral context beyond the schema.

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 well-organized with a clear purpose sentence first, followed by date formats and trigger examples. It is longer than necessary but every section serves a purpose, and the structure aids readability.

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?

For a combined generation+posting tool with no output schema, the description covers key behavioral aspects: the AI pause, project resolution, and date formats. It does not describe return values or error cases, but these are less critical for a one-step action tool.

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

Parameters4/5

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

While schema coverage is 100%, the description adds practical semantics: explains supported date formats, clarifies that enhanceWithAI defaults to enabled, and that projectName will be resolved automatically. These details go beyond the bare schema descriptions.

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 tool's combined function: 'Generate worklog from git commits AND post it to Povio in one step.' It explicitly distinguishes from siblings by the 'one step' fusion of generation and posting, and mentions support for both project ID and name.

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 clear context and trigger examples for when to use the tool, such as 'wl FaceFlip 8' or 'generate and post worklog for today with 8 hours.' However, it does not explicitly state when to prefer the individual siblings (generate_worklog or post_worklog) over this combined tool.

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/EgzonArifi/povio-worklog-mcp'

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