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set_custom_field

Idempotent

Set a custom field value on a document with automatic parsing of numbers, booleans, and strings.

Instructions

Set a custom field value on a document. Requires the document ID, class, field ID (from list_custom_fields), and value. Values are auto-parsed: numbers from numeric strings, booleans from 'true'/'false', strings as-is.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
objectIdYesa string that will be trimmed
objectClassYesa string that will be trimmed
fieldIdYesa string that will be trimmed
valueYesValue to set. Strings are passed as-is. For numbers, pass a numeric string (e.g. '42'). For booleans, pass 'true' or 'false'. For enums, pass the enum value string.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesThe successful tool result. The same value is also serialized as JSON in the text content for clients that do not read structuredContent.
warningsNoOptional agent-visible warnings about degraded result fidelity. Omitted when the server returned the documented happy-path payload.
Behavior4/5

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

Description discloses value auto-parsing behavior (numbers, booleans, strings) beyond annotations. Annotations already indicate idempotency and non-destructive nature, so the description adds useful context without contradiction.

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 efficient sentences: first defines purpose and key requirements, second details value parsing. No redundant information; front-loaded and to the point.

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 presence of an output schema, the description covers all necessary aspects: what the tool does, required parameters, and value type handling. Complete for a set operation.

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% with detailed value descriptions. The description adds the auto-parsing behavior and clarifies that fieldId comes from list_custom_fields, providing extra meaning beyond the schema.

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?

Clearly states the action ('Set a custom field value on a document'), identifying the specific verb and resource. Distinguishes from siblings like 'get_custom_field_values' and 'list_custom_fields'.

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?

Provides clear context for when to use the tool, including prerequisites (field ID from list_custom_fields) and parameter requirements. Lacks explicit exclusion of alternatives but sufficient for basic guidance.

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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