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Consult Career Positioning

consult_career_positioning

Create a personalized career strategy from your CV and optional market context, for review only—no data saved.

Instructions

Generate a CV-grounded career strategy for review without saving it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
market_contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It explicitly states the key non-persistence behavior ('without saving it'), which is the most important trait an agent needs to know. It does not mention other potential side effects, but for a consult-only generation tool this is reasonably transparent.

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 a single, front-loaded sentence that communicates the action, resource, basis, and side-effect boundary without wasted words. Every phrase earns its place.

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

Completeness4/5

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

For a tool with one optional parameter and an output schema, the description covers the core purpose and side-effect. The only notable gap is that market_context is not explained, but since it is optional and the tool is low-complexity, the description is still largely complete.

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 needs to compensate by explaining how market_context affects the output. It does not mention the parameter at all. The agent is left to infer from the property name alone what content should go in market_context.

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

Purpose5/5

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

The description uses a specific verb ('generate') and resource ('career strategy'), clarifies the grounding ('CV-grounded'), and states the purpose ('for review') and side-effect boundary ('without saving it'). This clearly distinguishes it from siblings like save_career_strategy and get_career_strategy.

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

Usage Guidelines4/5

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

It conveys the intended context: use this when you want a career strategy to review, not one to persist. It does not explicitly name the save_career_strategy sibling or state exclusions, but the 'without saving it' phrasing gives a clear enough usage boundary.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.