List projects
list_projectsList all your deployed projects on Dplooy. Shows name, URL, type, size, views, and status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number (default: 1) | |
| limit | No | Projects per page (default: 20, max: 100) |
list_projectsList all your deployed projects on Dplooy. Shows name, URL, type, size, views, and status.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number (default: 1) | |
| limit | No | Projects per page (default: 20, max: 100) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already indicates a safe read operation. The description adds meaningful behavior by specifying the 'deployed' scope and the exact fields returned (name, URL, type, size, views, status). Minor omissions like pagination behavior and default ordering are not disclosed, but the schema covers pagination parameters and defaults.
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?
The description is two short sentences with no filler. The action and scope are front-loaded, and the second sentence efficiently lists what will be shown.
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 simple read-only list tool with fully documented parameters, the description is largely complete: it states scope and output fields. It could be slightly stronger by noting pagination behavior or directing users to get_project for detailed information, but these are minor gaps.
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?
Schema description coverage is 100%, so both page and limit are already documented in the input schema. The description does not add additional parameter semantics, so the baseline of 3 applies.
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 states a specific action ('List') on a specific resource ('all your deployed projects') and enumerates the returned fields. This clearly differentiates it from singular get_project and other list_* siblings by resource and scope.
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 implies the tool is used to get an overview of deployed projects, but it does not explicitly state when to choose this over get_project or other project-related tools. No exclusions or alternative routing are provided.
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.