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set_task_custom_field_value

Set a custom field value on a task, using the appropriate data type for text, number, dropdown, labels, date, or users fields. Look up the field type first with a get custom fields tool.

Instructions

Set (or overwrite) a custom field's value on a task. The value shape depends on the field type (text/number primitive, drop_down option id, labels array, date epoch ms, users array). Look up the type with a get_*_custom_fields tool first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesID of the task to set the field on.
field_idYesID of the custom field.
valueNoValue to set, in the shape required by the field's type (see the tool description).
value_optionsNoOptional extra options for the value, e.g. { time: true } to include a time component for date fields.
custom_task_idsNoSet true to treat `task_id` as a custom task ID instead of a native ClickUp ID. Requires `team_id`.
team_idNoTeam/Workspace ID. Falls back to CLICKUP_TEAM_ID when omitted.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that the tool sets/overwrites a value, and that the value shape depends on field type. However, it lacks details on error conditions, permissions, or confirmation behavior, which is a gap for a mutation tool.

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?

Two sentences, each adding value. First sentence states the action. Second provides critical usage guidance. No redundant information. Properly front-loaded.

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?

Given the complexity of the tool (6 parameters, dynamic value shape) and no output schema, the description covers the main concerns: action, value dependency, and prerequisite lookup. It could mention that existing values are overwritten, but that is already implied. Overall sufficient.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaningful context for the 'value' parameter by explaining that its shape depends on field type and suggesting to look up the type. This goes beyond the schema description, which references the tool description itself.

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 states 'Set (or overwrite) a custom field's value on a task' which is a specific verb and resource. It distinguishes from siblings like 'remove_custom_field_value' and 'get_*_custom_fields' by focusing on setting the value, and it clarifies the overwrite behavior.

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 explicitly instructs to 'Look up the type with a get_*_custom_fields tool first', providing clear guidance on prerequisite knowledge. It does not explicitly state when not to use, but the purpose is clear given sibling 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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