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rehan1020

mcp-india-stack

by rehan1020

calculate_rti_fee

Read-onlyIdempotent

Calculate the required RTI application fee by state and applicant category (general or BPL), returning the payable amount and payment mode.

Instructions

Calculate the required RTI application fee for central or state authorities.

Use when determining the application fee required to file an RTI request.

Args: state_code: State code or 'central'. applicant_category: 'general' or 'bpl' (Below Poverty Line).

Returns: Standard envelope with the applicable fee amount and mode of payment.

Notes: Not legal advice. Consult a qualified advocate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
state_codeNoState code or 'central' (default: 'central')central
applicant_categoryNoCategory of the applicant ('general' or 'bpl')general

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds the return contents (fee amount and mode of payment) and a 'not legal advice' disclaimer, but the return info duplicates the existing output schema, so added value is modest.

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?

Front-loaded with the core purpose, then structured Args/Returns/Notes sections that are easy to scan. The Args section largely repeats the schema, which is mild redundancy but not wasteful.

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?

With an output schema present and full param coverage, the description needs only purpose and usage, both of which are supplied. Nothing critical for calling the tool correctly is missing.

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 both parameters are already documented; the baseline of 3 applies. The description does expand 'bpl' to 'Below Poverty Line', a small semantic addition 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?

States a specific verb and resource: 'Calculate the required RTI application fee for central or state authorities.' The resource (RTI application fee) is clearly distinct from the RTI siblings (deadline, penalty, draft_application), though it does not explicitly name them.

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?

'Use when determining the application fee required to file an RTI request' gives a clear triggering context. It stops short of naming alternatives or when-not-to-use conditions, but the usage scenario is unambiguous.

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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