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Rorogogogo

jobjourney-claude-plugin

by Rorogogogo

get_mock_interview_report

Retrieve the mock interview report for a specific job using its job ID to review interview performance and prepare for upcoming interviews.

Instructions

Get the mock interview report for a specific job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesThe job ID to get the mock interview report for

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.2.5

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. 'Get' implies a read, but the description never states whether the call is safe/non-mutating, whether it fails when no interview exists, or what the report contains. For a zero-annotation tool this is a real gap.

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

Conciseness4/5

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

A single tight sentence with the resource and scope front-loaded and no wasted words. It is efficient, though its brevity is partly under-specification rather than pure concision.

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

Completeness3/5

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

With one parameter, full schema coverage, and no output schema, the structural fields cover most of the calling surface. Still missing is any statement of the prerequisite interview or the report's contents, which matters for a retrievable artifact keyed on a job.

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

Parameters3/5

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

Schema coverage is 100% with a single 'job_id' parameter already documented in the schema. The description adds no format, sourcing, or lookup semantics beyond the parameter name, so the baseline 3 applies.

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 specific verb ('Get') and resource ('mock interview report') scoped to a job, which is unambiguous on its own. However, it does nothing to distinguish itself from the closely related sibling 'conduct_mock_interview', so an agent must infer that this retrieves rather than runs an interview.

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

Usage Guidelines2/5

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

There is no guidance on when to call this tool versus alternatives, and no mention of the obvious prerequisite that a mock interview must already have been conducted. The agent must guess whether a report exists and what happens if none does.

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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