Skip to main content
Glama
Labs64

Labs64/NetLicensing-MCP

netlicensing_delete_license

Delete a license permanently from Labs64 NetLicensing, optionally forcing deletion when dependencies exist.

Instructions

Delete a license permanently.

Args: license_number: License to delete force_cascade: Force deletion even if dependencies exist

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
license_numberYes
force_cascadeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that deletion is permanent and mentions dependency handling via force_cascade, but lacks details on permissions, side effects, or error conditions. This is adequate but leaves gaps in behavioral context.

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 front-loaded with the main purpose, followed by parameter explanations in a structured format. It is efficient with minimal waste, though the parameter section could be slightly more integrated into the flow.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that annotations are absent and schema coverage is 0%, the description provides basic purpose and parameter semantics. However, as a destructive tool with an output schema, it lacks details on return values, error handling, and full behavioral implications, making it minimally adequate but incomplete.

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?

Schema description coverage is 0%, so the description must compensate. It adds meaningful semantics for both parameters: license_number specifies the target, and force_cascade explains its purpose ('Force deletion even if dependencies exist'), which clarifies beyond the schema's basic titles and types.

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 action ('Delete a license permanently') with a specific verb and resource, distinguishing it from sibling tools like netlicensing_get_license or netlicensing_update_license by emphasizing permanent deletion.

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?

The description implies usage for deleting licenses but does not explicitly state when to use it versus alternatives like netlicensing_delete_undle or netlicensing_delete_licensee, nor does it mention prerequisites or exclusions beyond the force_cascade parameter.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Labs64/NetLicensing-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server