Skip to main content
Glama

get_time_tracks

Retrieve time tracking data for specific tasks to monitor productivity and analyze work patterns.

Instructions

Get time tracking data for specific tasks

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idsYes
debugNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
debugYes
successYes
summaryYes
metadataYes
api_versionNocurrent
response_versionNo1.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it 'gets' data, implying a read-only operation, but doesn't clarify permissions, rate limits, output format, or whether it's safe to use. This is inadequate for a tool with parameters and potential complexity.

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?

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core purpose, making it easy to scan and understand quickly, which is ideal for conciseness.

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?

Given the tool has an output schema (which handles return values), 2 parameters, and no annotations, the description is minimally adequate. It states the purpose but lacks usage guidelines and behavioral details, making it incomplete for optimal agent use despite the output schema support.

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%, so the description must compensate for undocumented parameters. It mentions 'specific tasks', hinting at 'task_ids', but doesn't explain the 'debug' parameter at all. This leaves half the parameters without semantic context, failing to bridge the coverage gap.

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 clearly states the verb 'Get' and the resource 'time tracking data for specific tasks', which is specific and actionable. However, it doesn't distinguish this tool from similar siblings like 'get_tasks', 'get_all_tasks', or 'time_tracking_summary', which limits its differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, exclusions, or compare it to siblings such as 'get_all_tasks' or 'time_tracking_summary', leaving the agent to guess based on context alone.

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/bgheneti/Amazing-Marvin-MCP'

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