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organizations_list_field_updates

Audit organization field changes with a chronological log of modifications. See old and new values, who made the change, and when.

Instructions

List updates about organization field values (changelog).

Returns a chronological list of changes made to organization fields. This is useful for:

  • Auditing field changes

  • Tracking data modifications

  • Understanding update history

  • Compliance and reporting

The changelog shows:

  • Which fields were changed

  • Old and new values

  • Who made the change

  • When the change occurred

Uses cursor-based pagination for efficient navigation through large change histories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesOrganization ID
cursorNoCursor for pagination
limitNoNumber of items to return (max 500)
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns a chronological list, shows fields changed, old/new values, who made the change, and when. It also mentions cursor-based pagination. It does not discuss rate limits or authentication, but for a read-only tool these are less critical.

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 a clear opening sentence, bullet points for use cases, and a separate paragraph for changelog content. It is concise—every sentence adds value—and front-loads the core purpose. No extraneous information.

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 list tool with no output schema, the description fully covers what the tool returns (changelog details), pagination behavior, and use cases. The 100% schema coverage compensates for missing output schema details. The description provides sufficient context for an agent to understand when and how to use this tool.

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 descriptions for all three parameters. The description adds value by explaining cursor-based pagination, which goes beyond the schema's basic parameter descriptions. For instance, it clarifies how to navigate through large change histories, but does not detail parameter formatting or constraints 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?

The description clearly states the tool's purpose: 'List updates about organization field values (changelog)'. It specifies the resource (organization fields) and action (list updates), distinguishing it from sibling tools like 'deals_list_field_updates' or 'organizations_list_updates' which cover different entities or broader updates.

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 provides explicit use cases: auditing, tracking modifications, understanding history, compliance. It does not explicitly exclude alternatives or state when not to use it, but the specificity of field-level changes implies appropriate context. With similar tools available, mentioning alternatives would improve clarity.

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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