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rajeshaipython-stack

ResumePilot MCP

Generate application profile

generate_application_profile

Builds a job-specific application profile by reusing verified data and identifying questions that must be answered by the user, so legal or declaration answers are never guessed.

Instructions

Build the job-specific application profile: the reusable fields ResumePilot can safely autofill from the VERIFIED master profile, the known answers, and the questions that must be answered by the user (never guessed — especially legal/declaration answers).

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 and it answers key behavioral questions: it states which fields are autofilled (verified master profile, known answers), which must come from the user, and that it never guesses, especially for legal/declaration answers. This is an explicit behavioral commitment that adds real 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?

The description is one efficient sentence that front-loads the primary purpose before listing components. It packs substantial detail without excessive verbosity, though it could be trimmed slightly without losing meaning.

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?

Despite the tool being relatively simple (one parameter, no output schema), the description fails to explain the parameter or the exact structure of the generated profile. With no annotations or output schema, the description should have covered these basics; it does not, leaving notable gaps for an agent.

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?

The single required parameter 'application' is not explained at all in the description. With schema description coverage at 0%, the description was expected to compensate but instead ignores the parameter entirely. An agent is left to guess that 'application' refers to an application ID based solely on the parameter name.

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?

States a specific verb ('Build') and resource ('job-specific application profile'), and details exactly what the profile contains (autofillable fields, known answers, user-required questions). It clearly distinguishes itself from siblings like analyze_master_resume or prepare_application by focusing on the job-specific profile derived from the verified master profile.

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 provides clear context for when this tool is used: to construct the application profile from verified data, separating it from other steps. However, it does not explicitly state when NOT to use it or mention alternative tools, leaving some inference to the agent.

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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