List booking pages
list_booking_pagesList your Dplooy Bookings pages with usage. Shows which are assigned to projects and pending request counts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_booking_pagesList your Dplooy Bookings pages with usage. Shows which are assigned to projects and pending request counts.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already covers the non-mutating behavior. The description adds useful context about what data is returned (usage, project assignment, pending counts), but does not disclose pagination, response format, or potential limits. This is adequate but not rich.
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?
Two short sentences front-load the main action and resource, then add the key output details. There is no filler or redundant restatement of the tool name.
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 no-input, read-only listing tool, the description is complete: it names the resource, the output highlights, and the safety profile is covered by annotations. The agent has enough information to invoke it correctly.
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 description does not need to explain parameter semantics because there are none to explain.
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 uses a specific verb ('List'), identifies the resource ('Dplooy Bookings pages'), and clarifies the output scope ('with usage', 'assigned to projects', 'pending request counts'). This clearly distinguishes it from sibling tools like list_projects, list_forms, and get_booking_page.
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 description establishes clear context for when to use this tool: when you need an overview of booking pages along with usage, project assignment, and pending request counts. It does not explicitly name alternatives or exclusions, but the use case is clear enough for an agent to select it.
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.
Most tools are clearly separated by resource and action, and the descriptions are detailed enough to avoid most misselection. The main ambiguity is between deploy_files and deploy_website (both deploy a site, one multi-file and one single-file), and get_project versus get_project_files versus list_projects require careful reading.
Every tool follows a consistent snake_case verb_noun pattern: create_*, get_*, list_*, delete_*, update_*, upload_*, assign_to_project, unassign_from_project, configure_chatbot. There are no camelCase names, vague verbs, or mixed conventions.
At 29 tools, this exceeds the comfortable MCP surface and crosses into the 'too many' range. The breadth is somewhat justified by the number of subdomains (projects, files, forms, data, bookings, chatbot, media), but several getters and listers could be consolidated without losing capability.
The tool set covers a full website build lifecycle: account checks, content modeling, media upload, deploy, assignment, chatbot configuration, and post-deploy file edits. Minor gaps remain: booking pages and form settings are intentionally read-only via the MCP, and there is no chatbot deletion or teardown tool.