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gouzmi

not-boring-resume-mcp

by gouzmi

generate_pdf

Converts a YAML CV into a one-page PDF. Indicates content overflow, allowing you to shorten the YAML and regenerate.

Instructions

Render a YAML CV into a one-page PDF via notboringresume.cloud.

Writes the PDF to output_path and returns {"path", "overflows"}. If "overflows" is True, shorten the YAML and call this tool again.

Args: yaml: the CV content in YAML (already tailored to the job offer). Omit it to render the site's built-in default CV (handy for a quick manual test). output_path: where to save the PDF, e.g. output/Acme/backend-dev/cv.pdf. Defaults to cv.pdf in the current directory. cv_path: path to the original CV YAML. When given, the photo from that file is reattached to yaml before rendering (it was stripped by load_cv).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yamlNo
cv_pathNo
output_pathNocv.pdf
Behavior4/5

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

No annotations exist, so the description bears full responsibility. It discloses the external dependency (notboringresume.cloud), the output behavior (writes to output_path, returns {path, overflows}), the overflow handling pattern, and the photo reattachment logic. However, it does not mention authentication requirements or error behavior if the external service fails.

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 well-structured: a one-line purpose, output note, overflow guidance, then a clear 'Args:' list. Every sentence adds value; no redundancy. It is appropriately sized and front-loaded.

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?

Given the tool has no output schema and no annotations, the description provides adequate context: explains the transformation, the parameters, the external service dependency, and the overflow retry logic. It does not require additional detail for typical use.

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

Parameters5/5

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

Schema description coverage is 0%, yet the description fully explains all three parameters via an 'Args:' section. It provides purpose, defaults, and usage context for each (e.g., yaml′s role in tailoring, cv_path′s photo reattachment, output_path′s default). This fully compensates for the schema gap.

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 first sentence clearly states the action: 'Render a YAML CV into a one-page PDF via notboringresume.cloud.' This specifies the verb (render), resource (YAML CV), and output (one-page PDF). It distinguishes from siblings like load_cv (which loads CV data) and generate_letter_pdf (letter PDF).

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

Usage Guidelines3/5

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

The description provides internal usage tips (e.g., handle overflow by shortening YAML and retrying, omit yaml for a quick test) but does not explicitly differentiate from sibling generate_letter_pdf or state when to use this tool over others. The guidance is partially present but lacks cross-tool context.

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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