List workspaces
list_workspacesList the growth workspaces (businesses) belonging to the signed-in user, with their website, goal, stage and budget.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_workspacesList the growth workspaces (businesses) belonging to the signed-in user, with their website, goal, stage and budget.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint and closed-world behavior, so the safety profile is covered. The description adds that results are scoped to the signed-in user and lists returned attributes, but says nothing about ordering, pagination, or what happens with zero workspaces.
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?
One sentence, front-loaded with the verb and resource, with the user-scope constraint and return fields packed compactly. Nothing is wasted and nothing important trails.
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 no output schema, the description usefully compensates by naming the returned fields (website, goal, stage, budget) plus the user scoping. For a zero-parameter read tool with strong annotations this is nearly complete, missing only edge-case behavior.
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 takes zero parameters, so the baseline is 4; there is no parameter semantics to explain and none is required. The description correctly offers no parameter detail because none exists.
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?
States a specific verb (List) and resource (growth workspaces/businesses) scoped to the signed-in user, and enumerates the returned fields. It is clearly distinct from the singular get_business sibling by virtue of listing all of them, though it never names that sibling explicitly.
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 'belonging to the signed-in user' scoping implies when the tool applies, but there is no explicit when-to-use or when-to-prefer-get_business guidance. Usage is inferable from the name and scope rather than stated.
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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