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ktmcp-cli

frankiefin

by ktmcp-cli

CreateEntityGetIDVToken

Creates a new entity and returns an identity verification token, enabling verification of name, address, and date of birth against national databases.

Instructions

Create Entity and Get IDV Token

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

D1.9/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It does not mention side effects, token lifecycle, idempotency, permissions, or whether any state changes are permanent. For a mutating operation, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, but brevity is under-specification here, not effective conciseness. It is a sentence fragment that merely repeats the name and provides no additional structure or context to help an agent act.

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?

Although the tool has zero parameters and no output schema, the description is still not complete enough. It lacks any explanation of what an IDV token is, why an agent would call this over the many similar entity tools, or what the outcome of the call is. The surrounding sibling list shows a rich domain, and this description does nothing to orient the agent within it.

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

Parameters4/5

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

The input schema has zero parameters, so there are no parameter semantics for the description to clarify. With zero parameters, the baseline is 4, and the description's failure to mention parameters is not penalized because there are none to document.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Create Entity and Get IDV Token' is essentially the tool name with spaces inserted. It restates the name rather than adding any gloss on what an IDV token is, what entity creation entails, or how this differs from the many sibling entity tools. This is tautological rather than clarifying.

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

Usage Guidelines1/5

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

There is no guidance about when to use this tool versus alternatives like CreateEntity, UpdateEntityGetIDVToken, or CreateCheckEntity. The description only restates the action and gives no selection criteria, prerequisites, or exclusions.

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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