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List contacts

keap_list_contacts
Read-only

List contacts in the Keap CRM. Supports filtering, ordering, field selection, and cursor pagination (page_size / page_token). Keap: GET /contacts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoComma-separated list of fields to return (field selection).
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

A4/5.0
Behavior4/5

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

Annotations only provide readOnlyHint=true; the description adds meaningful behavioral context by disclosing supported query capabilities (filtering, ordering, field selection) and cursor pagination with page_size/page_token. Matching the GET /contacts method reinforces the read-only nature without contradicting annotations.

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 compact sentences front-load the purpose and capability list, then close with the endpoint. No filler or redundant restatement of parameter names.

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 list operation with no required parameters and a fully documented schema, the description covers the important calling context: it identifies the resource, supported query features, and pagination mechanism. It does not describe the response envelope, but the schema's page_token explanation references next_page_token, and the endpoint is simple enough that this is a minor gap.

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?

All 5 parameters are already described in the input schema (100% coverage), so the schema carries the semantic burden. The description's brief mention of filtering/ordering/field selection/pagination aligns with the parameters but adds little detail beyond what the property descriptions already say.

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 a specific verb ('List') and resource ('contacts in the Keap CRM'), and reinforces the operation with the actual endpoint 'Keap: GET /contacts'. The plural resource and listing verb differentiate it from sibling get_contact/single-object tools.

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?

Implied usage is clear: use this when you need to enumerate or search contacts in Keap rather than fetch a single contact or list a different entity. However, it does not explicitly state when to choose this over alternatives (e.g., get_contact for one record) or any exclusions.

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.