get_chatbot_test_links
Get direct preview/test URLs for each website chatbot, so the user can try one before embedding it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get direct preview/test URLs for each website chatbot, so the user can try one before embedding it.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the tool's safety profile is known. The description adds that it returns preview URLs per chatbot, which is relevant context, but it does not disclose any additional behavior such as output format or edge cases. This is adequate but not richer than the annotations require.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with the action and resource front-loaded, followed by a short purpose clause. Every word earns its place and no redundancy exists.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read-only, zero-parameter tool, the description covers what the tool does, what it returns, and why it is useful. There is no output schema, but the return value is described succinctly. It does not mention possible caveats (e.g., whether only published chatbots are included), but this is minor for such a simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline is 4. The input schema is empty and the description does not need to explain parameters. It does clarify the kind of result returned (URLs), which adds meaning beyond the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the action ('Get') and the resource ('direct preview/test URLs for each website chatbot'), and the purpose ('so the user can try one before embedding it'). It is easily distinguished from siblings like list_chatbots (which returns chatbot objects) and update_chatbot_links (which modifies links, not reads them).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'so the user can try one before embedding it' provides a clear use context, but there is no explicit guidance on when not to use this tool or which sibling alternative to choose. The distinction from update_chatbot_links is implied by the verb but not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools occupy nearly identical roles (create_contact/add_contacts/save_contacts_to_crm/upload_contacts; add_companies/create_company; search_contacts/search_crm_contacts/find_contacts_at_companies), and the names don't clearly reveal whether they operate on saved or prospected data. Although the descriptions clarify some boundaries, an agent would frequently need to read many descriptions carefully to avoid mis-selection.
Most tools follow a snake_case verb_noun pattern such as list_campaigns, create_deal, and update_contact. Minor deviations like company_intelligence, get_icp, load_more_contacts, and the inconsistent use of add_/create_/upload_/save_ for similar creation actions keep it from being fully consistent.
51 tools is far beyond the well-scoped range and exceeds the 50+ extreme threshold. Even for a broad CRM/prospecting/marketing platform, exposing this many tools at once makes agent selection costly and unwieldy.
Contact and company creation/read/update are covered, but delete is absent across the board, and campaigns can be drafted, listed, and measured but not edited, activated, paused, or deleted. Deals, forms, and landing pages also lack update/delete lifecycle actions, creating meaningful dead ends for common CRM workflows.