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update_task

Partially update a task's mutable fields like status, priority, title, or solution. Only specified fields change; others remain intact.

Instructions

[TASK TOOLS] Partially updates mutable fields on an existing task (status, priority, title, solution, etc.) using a merge strategy — only keys present in updates are changed; all other fields remain intact. Use this for in-progress changes (e.g. updating priority or editing the solution).

Do NOT use to close a task — call complete_tasks instead, which atomically closes and auto-unblocks dependents. Do NOT use to create tasks — call add_tasks instead.

Allowed updates keys: status : open | in_progress | blocked | done priority : low | medium | high | critical title : str problem : str solution : str blocked_by : list[task_id]

Returns: updated task object with all current field values. Raises: 404 if task_id not found in project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYesProject name
task_idYesTask ID
updatesYesUpdates dict
Behavior4/5

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

With no annotations, the description carries full burden. It discloses the merge strategy, allowed keys, return value, and error case. While some details like authentication or idempotency are missing, the behavioral traits are well-covered.

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?

Well-structured with a header, clear purpose, do's and don'ts, allowed keys list, and return/error info. Front-loaded with the main purpose, no wasted sentences.

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?

Given the task structure and sibling tools, the description covers essential usage: what fields can be updated, how the update works, when to use alternative tools, and expected outcomes (return value, error). No significant gaps.

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

Parameters5/5

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

Schema descriptions are minimal ('Updates dict'), but the description adds significant meaning: lists allowed keys, their types, and enum values. Also explains merge strategy. This goes well beyond the schema's baseline.

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 purpose: partially updates mutable fields on an existing task using a merge strategy. It specifies the verb 'update' and the resource 'task', and distinguishes from siblings like 'complete_tasks' and 'add_tasks'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use (in-progress changes) and when not to use (close tasks, create tasks), with specific alternative tools named. This provides excellent guidance for the agent.

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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