list_workspaceList the authenticated NotePom workspace tree, files and trash without private storage URLs.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| files | Yes | ||
| notes | Yes | ||
| trash | Yes | ||
| folders | Yes | ||
| workspace | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish readOnly, idempotent, and non-destructive behavior. The description adds useful behavioral scope: it returns the authenticated user's workspace contents and explicitly excludes private storage URLs, which is meaningful beyond the structured annotations.
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 that front-loads the core action and resource, states the inclusion scope, and adds a relevant exclusion without unnecessary detail. Every word earns its place.
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?
With zero parameters, strong annotations, and an output schema present, the description sufficiently covers what the tool does and what it returns. An agent can select and invoke this tool confidently from the provided context.
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 and schema coverage is 100%, so there is no parameter documentation burden. The description still provides context about what the returned data represents, which is appropriate for a parameterless call.
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') plus resource ('authenticated NotePom workspace tree, files and trash') and adds a meaningful qualifier ('without private storage URLs'). It clearly distinguishes this tool from sibling list tools such as list_public_pages and list_shared_with_me.
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 this is for retrieving the current user's workspace tree, files, and trash, but it does not explicitly state when to prefer it over alternatives or when not to use it. Usage context is present, but exclusions and sibling-tool routing are left to inference.
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 target a distinct resource and action, and lifecycle pairs like publish_note_listing vs publish_media_listing or get_note vs get_collaboration_note are separated by clear wording. A few near-pairs such as move_file vs move_workspace_item and trash_file vs trash_workspace_item could still cause an agent to pick the wrong tool without careful reading.
All 38 tools follow one consistent verb_noun snake_case pattern with no camelCase or mixed conventions. Even less common verbs like upsert, trash, purge, and validate are applied uniformly, making the tool set predictable.
38 tools is well above the 25+ threshold and makes the overall surface feel heavy for tool selection. The number is defensible given the broad workspace, collaboration, and marketplace scope, but as a single MCP server it is not especially well-scoped.
The tool set covers workspace content lifecycle, collaboration, public pages, marketplace listings, Stripe seller flow, and agent registration without major dead ends. Minor gaps exist, such as no permanent delete outside of the trash flow and no direct collaboration-note deletion, but core workflows are supported.