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denispaul2406

india-business-mcp-server

validate_pan

Validates PAN format for Indian businesses and extracts legal entity type (Individual, Company, Firm, Trust).

Instructions

Validates the format and structure of a Permanent Account Number (PAN), and extracts the legal entity/holder type (e.g., Individual, Company, Firm, Trust).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
panYesThe 10-character PAN card number (e.g., 'ABCDE1234F')
Behavior2/5

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

No annotations provided, so description must fully disclose behavior. It states validation and extraction but does not specify behavior on invalid input (error vs flag) or any side effects. For a validation tool, this is a gap.

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?

Single sentence, front-loaded with purpose and extraction detail. Every word adds value, no redundancy.

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 validation tool with one parameter and no output schema, the description covers purpose and core behavior (extraction). Minor gap: no mention of return format, but extraction hint compensates.

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 coverage is 100% with the single parameter 'pan' described. The description adds no new semantic information beyond the schema, meeting the baseline.

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 tool validates PAN format and extracts holder type, using specific verb ('validates', 'extracts') and resource ('Permanent Account Number'). It distinguishes from sibling tools like validate_gstin which validate different identifiers.

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

Usage Guidelines3/5

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

Usage is implied by the tool name and description but no explicit guidance on when to use vs alternatives. Siblings are different enough that confusion is unlikely, but the description lacks direct comparison or exclusion notes.

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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