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JobLens MCP

by rohith-jpg

parse_resume

Extract skills, email, and phone number from a local resume file (PDF or .txt) without data leaving your machine.

Instructions

Parse a local resume file (PDF or .txt) into structured data: extracted skills, email, and phone number. The file never leaves your machine — this just reads it locally.

Args: file_path: absolute path to the resume file on disk

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that the operation is local and no data leaves the machine, which is helpful. However, it lacks details on error handling, file size limits, or permissions, which would improve transparency.

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 extremely concise with two sentences and an arg description. No unnecessary words, and it front-loads the key information (purpose and local nature).

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

Completeness4/5

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

For a simple tool with one parameter and no output schema, the description covers the essential aspects: what it does, privacy guarantee, and parameter clarification. It could mention return format or error conditions, but given its simplicity, it is sufficiently complete.

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 description coverage is 0%, but the description adds meaning by specifying that 'file_path' is an absolute path to a local file on disk. This goes beyond the schema's minimal 'File Path' title and type string, though it could include more details like accepted formats.

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 description clearly states the action ('Parse'), the resource ('local resume file'), and the output ('structured data: extracted skills, email, and phone number'). It distinguishes from siblings like 'search_jobs' or 'match_resume_to_job', which involve searching or matching rather than parsing.

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 specifies when to use the tool (when you have a local resume file) and notes that the file never leaves the machine, which is a privacy guideline. However, it does not explicitly state when not to use it or suggest alternative tools.

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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