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waqarbytes

India Schemes MCP Server

by waqarbytes

Check Scheme Eligibility

check_eligibility

Evaluate whether an applicant qualifies for an Indian government scheme based on age, income, occupation, state, and other profile data.

Instructions

Evaluate whether an applicant qualifies for a government scheme based on their profile (age, income, occupation, state, etc.) using a data-driven rules engine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scheme_idYesThe unique ID of the scheme to evaluate eligibility against
user_profileYesThe applicant's demographic and financial profile attributes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It mentions a data-driven rules engine but does not disclose read-only status, side effects, result format, error handling, or how missing optional profile fields affect evaluation.

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 a single, front-loaded sentence that states the action and key inputs without padding. Every element contributes to understanding the tool’s core function.

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?

The tool accepts a nested profile object and has no output schema, so the description should clarify what eligibility evaluation returns or how results are structured. With no annotations and no return-value context, it is incomplete for a decision-support tool.

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

Parameters3/5

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

Schema description coverage is 100%, so the nested user_profile fields and scheme_id are already fully documented. The description repeats example profile attributes (age, income, occupation, state) but adds no syntax, constraints, or meaning beyond 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?

The description uses a specific verb-resource pairing: evaluate applicant eligibility for a government scheme. It is clearly distinct from sibling tools like get_scheme, search_schemes, and compare_schemes, though it does not explicitly name alternatives or contrast itself with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus siblings, nor any prerequisites or exclusions. The description implies usage through its purpose, but an agent receives no explicit routing instructions.

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