list_workspaces
Workspaces you belong to, with your role, storage used and members.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_token | No |
Workspaces you belong to, with your role, storage used and members.
| Name | Required | Description | Default |
|---|---|---|---|
| api_token | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already covers the read-only nature. The description adds useful scoping ('you belong to') and output details, but it does not mention pagination, token behavior, or output format. This is acceptable given the annotation.
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 no filler. It front-loads the resource and immediately names the key output fields.
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 list operation this covers core outputs, but it lacks any explanation of the api_token parameter and does not describe pagination or the full return structure. Given there is no output schema, some of that burden falls on the description.
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 only parameter, api_token, has 0% schema description coverage, and the description does not mention or explain it. With low schema coverage, the description should compensate, but it does not.
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 resource ('Workspaces you belong to') and the returned details (role, storage used, members). It is readily distinguishable from sibling tools like create_workspace or list_files, though it lacks an explicit verb.
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 context is clear: this retrieves workspaces associated with the current user. However, it does not explicitly state when to use this tool instead of alternatives, nor does it mention exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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