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rajeshaipython-stack

ResumePilot MCP

Prepare application

prepare_application

Prepares a job application by generating an autofill map, customized resume, and manual checklist. Sets status to READY_TO_APPLY and lists human-only steps.

Instructions

Prepare everything needed to apply: autofill map, customized resume to attach, and a step-by-step manual checklist. In Phase 1 nothing is auto-submitted to external sites — the application is set to READY_TO_APPLY and any human-only steps (login, CAPTCHA, OTP, 2FA, identity, legal declarations) are listed for the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
applicationYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It transparently discloses that the tool does not auto-submit to external sites, sets the application to READY_TO_APPLY, and lists human-only steps (login, CAPTCHA, etc.). This gives the agent a clear picture of side effects. It doesn't mention any requirements (e.g., existing job, resume), but the main behavior is well disclosed.

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?

Two sentences with high information density, front-loaded with the main purpose. It lists the key outputs and the safety guarantee without redundant phrasing. Everything earns its place, making it an excellent example of concise, effective description.

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?

The description covers the behavioral outcome (preparation, no submission, status set, human steps listed) comprehensively. However, it lacks any explanation of the input parameter, and since there is no output schema, the return value is unaddressed. For a tool with a single integer parameter, the missing parameter semantics is a notable gap, but the behavioral context is strong. Overall, it's adequate but not complete.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate, but it fails to explain the sole parameter 'application' (an integer). The description never mentions that the parameter is an application ID or what values are valid. Without this, an agent cannot correctly determine what to pass. This is a significant omission in a tool with only one parameter.

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 states a specific verb ('prepare') and resource ('application'), and enumerates concrete deliverables (autofill map, customized resume, manual checklist). It also explicitly differentiates from the sibling 'apply_to_job' by clarifying that nothing is auto-submitted in Phase 1, making the distinction between preparation and submission clear.

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 implies usage context: it's the preparation step before submission, contrasted with 'apply_to_job' which presumably handles submission. The phrase 'In Phase 1 nothing is auto-submitted' signals when to use it, but it doesn't explicitly name alternatives or give a 'when not to use' condition. The guidance is clear but not fully explicit.

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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