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aaddyy_cover_letter_creator

Generate personalized, recruiter-approved cover letters from a resume, job description, and one real achievement. Download AI-fingerprint-free output as .docx or .pdf.

Instructions

Generate personalized, recruiter-approved cover letters. Paste your resume, job description, and one real achievement. Guaranteed AI-fingerprint free. Download as .docx or .pdf. (~5 credits)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toneNo
lengthNo
resumeYes
your_nameNo
achievementYes
company_nameNo
job_descriptionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

B3.2/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses cost (~5 credits), output formats (.docx/.pdf), and a quality claim ('AI-fingerprint free'), but omits permissions, latency, and whether generation is a paid one-shot or retryable. The cost and format disclosures are genuine added value.

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?

Four short, front-loaded sentences with zero padding; the core action and required inputs come first. The marketing claims ('recruiter-approved', 'Guaranteed AI-fingerprint free') consume space without informing invocation, but are brief.

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?

For a 7-parameter generation tool with no annotations and no output schema, the description covers cost, output format, and three required inputs but omits four optional parameters entirely. Adequate for a first call, incomplete for using the tool's full surface.

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% across 7 parameters. The description names only resume, job_description, and achievement, leaving tone, length, your_name, and company_name entirely undocumented in both schema and description. It does not compensate for the coverage gap.

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: 'Generate personalized, recruiter-approved cover letters.' An agent can distinguish it from aaddyy_cv_resume_creator by the stated deliverable, though the description never names that sibling explicitly. Clear but not sibling-differentiating.

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?

'Paste your resume, job description, and one real achievement' tells the agent what inputs to supply but not when to pick this tool over aaddyy_cv_resume_creator or aaddyy_email_writer. Usage is implied by the input list rather than stated as guidance.

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