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Career Command

Run one premium Career Sprint practice action

run_interview_sprint_action

Consume one verified premium action for pre-interview preparation. Supports role-specific question generation, practice-answer evaluation, story recovery, and interview planning. Not for covert live-interview answer feeding.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
roleNo
answerNo
skillsNo
companyNo
questionNo
access_keyYes
request_idNo
achievementsNo
prior_practiceNo
job_descriptionNo
candidate_backgroundNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds a meaningful behavioral fact beyond the annotations: calling this tool consumes a premium action. It also clarifies that the tool is for practice rather than live-interview assistance. It does not mention auth or response behavior, but it does not contradict any annotation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two sentences and is well front-loaded: the first sentence states the core behavior, the second lists capabilities and a key boundary. Every sentence carries useful information and there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 12 parameters and no output schema, the description is not complete enough to support correct invocation. It omits mode-specific parameter requirements, prerequisite linkage to checkout/status tools, and any indication of what the response returns. An agent knows the tool's purpose but not enough detail to reliably build valid calls.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It only paraphrases the enum modes and never explains which of the 12 input fields (role, answer, skills, job_description, candidate_background, etc.) are required or expected for each mode. An agent would have to guess the correct payload.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action ('Consume one verified premium action') and a clear context ('pre-interview preparation'), then lists the supported capabilities. It does not explicitly name or contrast sibling tools such as prepare_interview_sprint_checkout or get_interview_sprint_status, so the differentiation is clear but implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'pre-interview preparation' context and the enumerated modes imply when the tool should be used, and the last sentence is an explicit when-not ('Not for covert live-interview answer feeding'). However, there is no guidance about prerequisites, checkout/offer dependencies, or when to prefer sibling status/capability tools.

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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