Get Career Command machine capabilities
get_career_command_capabilitiesRead Career Command machine-commerce boundaries and supported premium practice actions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_career_command_capabilitiesRead Career Command machine-commerce boundaries and supported premium practice actions.
| 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 destructiveHint, so the safety profile is well covered. The description adds that the tool returns capability boundaries and supported actions, but it does not add details like response shape, rate limits, or authorization needs. This is acceptable because the annotations carry the behavioral burden and nothing contradicts them.
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 front-loaded sentence with no filler, repetition, or wasted words. Every phrase contributes to defining what the tool reads and returns.
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 parameterless, read-only capability tool, the description is nearly complete: it states the read action and the broad categories of returned information. Since there is no output schema, the description carries the burden of indicating what comes back, and it does so at a useful but general level.
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 the schema fully documents that empty parameter surface, so the baseline of 4 applies. There are no parameter ambiguities to resolve, and nothing in the description misleads an agent about expected arguments.
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 the specific verb 'Read' and names a concrete resource: Career Command machine-commerce boundaries and supported premium practice actions. This distinguishes it from the interview-sprint sibling tools, which deal with offers, status, checkout, and actions. An agent can tell what this tool is for without needing the schema.
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 gives no explicit guidance about when to choose this tool over siblings, nor does it mention exclusions or prerequisites. It implicitly suggests using it when capability information is needed, but that is left to inference. No alternative tool is named or contrasted.
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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