CompleteMCP
Enables tailoring resumes to job descriptions by scraping JDs, applying rules, and generating optimized DOCX resumes.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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Install from
The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
get_jdGet a job description from a URL, pasted text, or a file. Returns JD content, slug, and output paths. Provide exactly one of: url, text, or file_path. Optionally provide a slug like 'CompanyName_Role' for cleaner filenames.
get_base_resumeReturns the bundled base_resume.json (source of truth) with a job summary showing bullet counts per position.
set_base_resumeReplace the bundled base resume with a new one. Pass the full resume JSON as a string. This becomes the new source of truth for validation.
get_tailoring_rulesReturns the resume tailoring rules. Read these before creating any tailored resume.
list_skillsList the bundled resume/JD tailoring skills with a short description of each. Read the relevant skills (especially the fabricators) before tailoring a resume, then fetch full content with get_skill.
get_skillReturn the full SKILL.md content for one bundled skill. Use the exact name from list_skills (e.g. 'resume-tailor-fabricator').
save_tailored_resumeSave a tailored resume JSON. Writes to data/<slug>.json by default, or to a custom path.
validate_resumeValidate a tailored resume JSON against the base resume. Checks identity, fabrication count (max 10), bullet count guardrails, and hedging phrases.
build_docxBuild a DOCX resume from a tailored JSON file. Should only be called after validate_resume passes. Output filename is derived from the base resume Contact.Name.
list_jdsList all saved job description files with titles and filter status.
list_resumesList all generated resume files — tailored JSONs and built DOCXs.
FIRECRAWL_API_KEYTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
11/11 tools missing one or more hints — get_jd (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_base_resume (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); set_base_resume (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +8 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Descriptions match behaviour
1 tool describes read intent but its handler mutates — get_jd (line 152: fs.mkdirSync(path.dirname(jdFile), { recursive: true }))
Rename the tool, rewrite the description, or move the side-effect into a separate clearly-named tool.
Tool inputs are validated
6/11 tool handlers declare input schemas (55%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
7/11 tool handlers wrap calls in try/catch (64%)
Wrap each tool handler body in try/catch and return a structured error response.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tests exist
No test files found
Add tests that exercise each declared tool.
No arbitrary install scripts
Has postinstall/preinstall script — runs arbitrary code on npm install
Remove postinstall/preinstall hooks unless they’re essential.
Tool description accuracy
get_jd: description implies read-only but handler writes/deletes/executes
Update tool descriptions to accurately reflect all capabilities — especially write, delete, or execute operations.
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