Skip to main content
Glama

generate_portfolio

Create a professional portfolio in HTML and Markdown from your name, title, skills, experience, and project history to showcase freelance work.

Instructions

Auto-generate professional portfolio

Args:
    name: Your name
    title: Professional title
    skills: List of skills
    years_experience: Years of experience
    project_history: List of past projects

Returns:
    Generated portfolio in HTML and Markdown

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
titleYes
skillsYes
project_historyNo
years_experienceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.1.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the output formats (HTML and Markdown), but says nothing about side effects, persistence, whether a profile must exist first, permissions, or how long generation takes.

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?

Short, front-loaded, and free of filler; the Args/Returns split is readable. It is slightly over-structured for five trivially labeled parameters, but nothing is wasteful.

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?

An output schema exists, so the Returns line is redundant rather than harmful. However, with 0% schema coverage and three required parameters, the description leaves the agent without format expectations, optionality, or default values.

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, and it largely restates the schema titles ('name: Your name', 'skills: List of skills'). Useful additions like which params are optional, the default of 3 years_experience, and the shape of project_history objects are absent.

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 and resource ('Auto-generate professional portfolio'), so an agent knows exactly what it produces. No sibling tool overlaps with portfolio generation, so differentiation isn't needed, but it also makes no explicit distinction from the nearby generate_proposal.

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?

The description gives no context on when to call this versus alternatives such as generate_proposal or create_user_profile, no prerequisites, and no indication of when generation is inappropriate. The only framing is the name itself.

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