usage_get
SAGOT usage.get. Uses the same authorization and validation as website, API and CLI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| workspaceId | Yes |
SAGOT usage.get. Uses the same authorization and validation as website, API and CLI.
| Name | Required | Description | Default |
|---|---|---|---|
| workspaceId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, yet it only claims auth/validation parity with other surfaces. It does not state whether the call is read-only, what scope of usage is returned, or any rate limit or aggregation behavior.
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?
It is short at two sentences, but the first sentence is pure name restatement and earns nothing. The second sentence is the only content-bearing part, so size is fine while information density is low.
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 read tool with one required parameter, no annotations and no output schema, the description should at minimum say what data comes back and at what granularity. Neither is present, leaving the agent guessing about the response.
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 never mentions the workspaceId parameter. The lone required UUID is left entirely to the schema's format/pattern, so the description adds no meaning about which workspace is targeted.
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?
"SAGOT usage.get" merely restates the tool name, and the second sentence describes auth parity rather than what the tool returns. An agent cannot tell from this text whether the tool reads usage, billing, or quota data for a workspace, nor how it differs from the sibling platform_usage.
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?
No when-to-use, when-not-to-use, or alternative-tool guidance is given. The only context offered ("same authorization ... as website, API and CLI") is a parity statement, not a selection hint, so the agent gets no routing signal toward or away from usage_get.
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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