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Rorogogogo

jobjourney-claude-plugin

by Rorogogogo

get_profile

Retrieve the user's profile data—skills, experience, education, and projects. Use it to tailor AI-assisted job search and application tracking.

Instructions

Get the user's profile information including skills, experience, education, and projects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.2.5

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full disclosure burden. 'Get' makes the read-only nature self-evident and 'the user's' implies an authenticated own-profile scope, but nothing is said about auth requirements, error behavior for incomplete profiles, or whether any data is redacted.

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 front-loaded sentence with no filler; the enumeration of returned fields is the most useful part and appears immediately. Nothing is wasted, though nothing is prioritized over anything else.

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?

For a zero-param read tool with no output schema and no annotations, the description does cover what comes back, which is the main thing an agent needs. It remains incomplete on sibling disambiguation and on the authenticated-scope assumption in a tool list crowded with other 'profile' endpoints.

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

Parameters4/5

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

The tool takes zero parameters, which is the baseline-4 case per the rubric. The schema is trivially complete and no parameter meaning is missing.

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?

States a specific verb ('Get') and resource ('the user's profile information') and enumerates the returned sections (skills, experience, education, projects). It does not distinguish itself from close siblings such as get_my_coffee_profile or get_public_portfolio, so an agent could pick the wrong profile tool.

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?

No guidance on when to call this versus get_my_coffee_profile, get_public_portfolio, or the granular update_profile_* equivalents. The agent must infer from the name alone that this is the full own-profile read.

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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