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List campaigns

keap_list_campaigns
Read-only

List marketing campaigns (automation sequences). Supports filtering, ordering, and cursor pagination. Keap: GET /campaigns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoFilter expression, e.g. `given_name==John` (see Keap REST v2 filtering).
order_byNoField to order results by, e.g. `given_name` or `-date_created`.
page_sizeNoNumber of records per page (max 1000).
page_tokenNoOpaque pagination cursor from a prior response's next_page_token.

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true. The description adds behavioral context by specifying the supported capabilities (filtering, ordering, cursor pagination) and the underlying Keap endpoint GET /campaigns. This goes beyond the annotation and helps set expectations for paginated read behavior.

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 two concise sentences, front-loaded with the main purpose, and every clause adds relevant information. No filler or redundant detail.

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?

For a simple read-only list operation with all optional parameters and no output schema, the description plus schema cover the essential invocation details. It could be slightly more complete by noting what the response contains, but the pagination and filtering context is sufficient for an agent to call it correctly.

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%, so the parameter meanings are already documented. The description's mention of filtering, ordering, and cursor pagination loosely aligns with filter, order_by, and page_token, but it adds no specific semantic value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the action ('List') and resource ('marketing campaigns (automation sequences)'), adding useful context that campaigns are automation sequences. It does not explicitly distinguish itself from sibling list tools, but the verb+resource makes the purpose unambiguous.

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

Usage Guidelines3/5

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

The description states that filtering, ordering, and cursor pagination are supported, implying when the tool is useful for listing campaigns. However, it provides no explicit guidance on when to choose this tool over sibling list tools or when NOT to use it.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a clearly distinct resource and action: list_* tools are separated by entity, get_* tools retrieve individual records, and create_/update_/apply_ tools perform unique mutations. There is no meaningful overlap or ambiguity between tools.

Naming Consistency5/5

All tools consistently use the keap_ prefix followed by a verb_noun pattern, such as list_contacts, get_company, create_task, and update_contact. The naming convention is uniform across all 18 tools.

Tool Count3/5

At 18 tools, the count falls into the borderline 16-25 range and feels somewhat heavy for a single server. Each tool does have a distinct purpose, but the set is larger than ideal and includes many read-only list/get operations.

Completeness3/5

Contacts and tasks have reasonable lifecycle coverage, but most other entities such as opportunities, companies, orders, products, and subscriptions are read-only. Notable operations like removing a tag, updating/deleting tasks, and updating opportunities are missing, creating potential dead ends.