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generate_resume_portfolio_blueprint

Generate a developer resume, GitHub portfolio README, and brand positioning that highlights achievements to attract engineering teams and investors.

Instructions

Generates a high-converting developer resume, GitHub portfolio README, and personal brand positioning that stands out to top-tier engineering teams and investors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
developer_roleYesTarget developer role (e.g. 'Full-Stack Engineer', 'AI/ML Engineer', 'Founding Engineer')
key_achievementsNoList of key technical or business achievements to highlight
Behavior3/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It clearly states the tool 'Generates' content, implying a non-destructive creation action. However, it does not explain any side effects, required permissions, output format, or potential variability. The description is basic but not misleading; it adds some context beyond a pure tautology.

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?

The description is a single, well-structured sentence that front-loads the primary outputs. It avoids fluff and stays within one line, making it easy to scan. No redundancy or unnecessary detail is present.

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?

The tool has only two parameters and no output schema, so the description must explain what is returned. It names the three deliverables (resume, portfolio README, brand positioning) but does not clarify how they are presented (e.g., separate files, combined document) or how inputs influence each. For a generation tool producing multiple artifacts, some additional detail on output structure would be helpful, though the description is not seriously deficient.

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 description coverage is 100%: both parameters (developer_role, key_achievements) have meaningful descriptions in the schema. The tool description does not add any additional meaning or clarify edge cases beyond what the schema already states. Since the schema fully documents each parameter, the baseline of 3 is appropriate.

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 uses a specific verb ('Generates') and clearly names the resources ('developer resume, GitHub portfolio README, and personal brand positioning'). It gives enough detail to understand the core function. It does not explicitly differentiate from sibling tools like generate_brand_positioning_matrix or generate_developer_value_walkthrough, but the unique combination of outputs makes it reasonably distinct.

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 use this tool versus alternatives. The description does not mention any conditions, exclusions, or mention of sibling tools. Given the large list of sibling generation tools (e.g., generate_brand_positioning_matrix, generate_marketing_copy_blueprint), an agent lacks criteria to choose this specific tool over others with overlapping goals.

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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