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BACH-AI-Tools

Rchilli Resume Parser MCP Server

resume_parser_url_api

Parse resumes from public URLs to extract structured data for recruitment and applicant tracking systems.

Instructions

Resume Parser Url API allows you to parse resume using resume public URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description carries full burden. Mentions 'public URL' (indicating the resume must be publicly accessible), but fails to disclose output format, supported file types (PDF, DOCX), error conditions, or privacy implications of sending URLs to the parser.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence structure is efficient, but contains filler words ('allows you to') and tautology (repeating 'Resume Parser Url API' from the name). The core value ('parse resume using resume public URL') is present but not front-loaded.

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

Completeness2/5

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

Resume parsing is a moderately complex operation, yet the description provides no information about the return value or output structure, and there is no output schema to compensate. Given the lack of annotations, the description should explain what structured data is returned (e.g., contact info, work history).

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?

Input schema contains zero parameters. Per scoring rules, 0 params establishes a baseline of 4. The description mentions 'resume public URL' which aligns with the tool's implied parameter needs, though this is not formally documented in the schema.

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 the specific action (parse) and resource (resume) clearly. Effectively distinguishes from sibling tool 'resume_parser_binary_api' by specifying 'public URL' as the input method, clarifying the scope.

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?

Implies usage context by specifying 'public URL,' suggesting when to use this over the binary alternative (when a URL is available vs. a local file). However, lacks explicit when-not guidance or direct comparison to the sibling tool.

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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