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jais2402
by jais2402

Get Everhour task details

everhour_get_task
Read-onlyIdempotent

Fetch an Everhour task by ID to get detailed time data including total tracked time, estimate, and per-user breakdown. Works with Asana tasks using the 'as:' prefix.

Instructions

Fetch a single Everhour task by ID, including total tracked time, estimate, and per-user time breakdown.

Args:

  • task_id (string): Everhour task ID. For Asana tasks: 'as:'

  • response_format ('markdown' | 'json'): Output format

Returns the full task object with name, projects, status, estimate (seconds), time.total (seconds), URL, etc.

Examples:

  • "Show task as:1208034567890123" → task_id='as:1208034567890123'

Error Handling:

  • 404 → task not found / not synced into Everhour. Use everhour_find_task_by_asana_id to verify Asana mapping.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesEverhour task ID. For Asana-synced tasks the ID is 'as:<asanaGid>' (e.g. 'as:1208034567890123').
response_formatNoOutput format: 'markdown' for human-readable text or 'json' for machine-readable structured datamarkdown
Behavior4/5

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

Annotations already indicate the tool is read-only, idempotent, and non-destructive. The description adds valuable behavioral context beyond annotations, including the structure of the returned data (total tracked time, estimate, per-user breakdown) and specific error handling (404 response).

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 well-structured with clear sections (purpose, args, returns, examples, error handling). It is concise, front-loaded with the main purpose, and every sentence adds value without redundancy.

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

Completeness5/5

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

For a simple read-only tool with 2 parameters, the description is complete. It explains what the tool returns (full task object with relevant fields), provides usage examples, and covers error handling. No output schema is needed as the description sufficiently clarifies return values.

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%, and the schema already explains both parameters well. The description adds an example for task_id format and error handling context, but does not significantly enhance understanding beyond the schema. Baseline 3 is appropriate.

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 fetches a single Everhour task by ID and includes tracked time, estimate, and per-user breakdown. It uses a specific verb and resource, distinguishing it from siblings like everhour_search_tasks which searches multiple tasks.

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 implicitly indicates this tool is for fetching a known task by ID. It provides an alternative in the error handling section (everhour_find_task_by_asana_id) for verifying Asana mapping, giving context for when not to use this tool.

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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