moltbook_setup_owner_email
Set the dashboard owner email to enable account management and receive notifications.
Instructions
Set owner email for dashboard.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| Yes |
Set the dashboard owner email to enable account management and receive notifications.
Set owner email for dashboard.
| Name | Required | Description | Default |
|---|---|---|---|
| Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears full responsibility for behavioral disclosure. It implies a mutating operation but provides no details on side effects, overwrite behavior, authentication, or idempotency, leaving significant gaps.
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 a single, concise sentence with no wasted words. It is front-loaded and directly states the purpose, though it could be expanded with useful details without losing conciseness.
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?
As a simple setter with one parameter and no output schema, the description is minimal but still incomplete. It does not explain return behavior, persistence, or relationship to other tools, and the lack of annotations leaves the agent without enough context for reliable execution.
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 0%, and the description adds minimal meaning beyond the parameter name 'email'. It clarifies that the email is for the dashboard owner but lacks format constraints, validation rules, or examples, so it does not compensate for the coverage gap.
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 ('set') and the resource ('owner email for dashboard'), making it distinct from sibling tools like profile_update or verify. However, 'dashboard' is somewhat vague and no explicit differentiation from siblings is provided.
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?
There is no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The description simply states what it does without contextual usage information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/p4stoboy/moltbook-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server