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Generate tailored resume

generate_resume

Generate a tailored resume PDF or DOCX for a specific job posting by combining verified background facts with your custom summary and key qualifications, saved directly to your Resumes folder.

Instructions

Generate a tailored resume PDF (or docx) on the host and save it into the Resumes folder — no base64, works from Claude Desktop. The STABLE facts (employers, titles, dates, education, skills) come from resume_master.json; YOU supply only the per-posting tailoring: a rewritten summary and the key_qualifications bullets aligning the candidate to this specific company + position. The server renders the master + your tailoring into a formatted PDF (python-docx + LibreOffice) matching the existing resumes. Do NOT invent employers, dates, or degrees — those are fixed in the master. Returns the saved path and size, plus a nextStep with a suggested follow-up call (add_job / promote_to_tracker / update_job) — offer it to the user so tailoring, saving, and tracking flow together.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput format (default pdf).
skillsNoOptional skills list to override/reorder the master's skills.
companyYesTarget company, e.g. "Acme Corp".
summaryYesThe tailored SUMMARY paragraph, rewritten to foreground the fit for this posting. Factual — draw only on the real background.
filenameNoOutput file name (no folders). Defaults to Dale-Magrath-Resume-{Company}-{Position}.{ext}.
positionYesTarget role, e.g. "Engineering Manager".
overwriteNoIf false (default), refuse to replace an existing file.
include_honorsNoInclude a Honors & Awards section from the master (default false; off keeps a full resume at 2 pages).
include_projectsNoInclude the Projects section (default true).
key_qualificationsYesBullet points for the 'KEY QUALIFICATIONS — {company} {position} ALIGNMENT' section, each tying real experience to this posting.
Behavior5/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It states that output is saved to a specific folder, no base64 is used, the rendering uses python-docx + LibreOffice, factual constraints (do not invent employers/dates/degrees), and the return payload (path, size, nextStep). This is exceptionally 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 succinct four-sentence paragraph. The first sentence front-loads the core purpose; subsequent sentences add necessary constraints and workflow details. No filler or redundancy—every sentence earns its place.

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

Completeness5/5

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

For a tool with 10 parameters and no output schema, the description covers purpose, input responsibilities, rendering process, file location, constraints, return values, and a suggested follow-up. It is fully complete for an agent to select and invoke the tool correctly.

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?

Schema coverage is 100% with meaningful descriptions for each parameter. The description adds extra context for key parameters (summary and key_qualifications) by explicitly labeling them as the per-posting tailoring. This enriches the schema without redundancy.

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?

Description states a specific verb+resource: 'Generate a tailored resume PDF (or docx) on the host and save it into the Resumes folder.' This clearly distinguishes it from all sibling tools (job tracking, document management, etc.) which serve different purposes.

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?

The description explains that stable facts come from resume_master.json and that the user supplies only per-posting tailoring (summary, key_qualifications). It also suggests offering the nextStep to keep tailoring, saving, and tracking together. However, it does not explicitly contrast with sibling tools or state when not to use it.

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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