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WYRE-AI

avanan-legacy-mcp

by WYRE-AI

avanan_assign_license

Assign a license and optional add-ons to an existing Avanan tenant by providing tenant ID, license code, and optional user limit.

Instructions

Assign a license (and optional add-ons) to an existing customer tenant.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tenant_idYesAvanan tenant ID to assign the license to.
addonIdListNoOptional list of add-on IDs from avanan_list_addons.
licenseCodeNameYesCode name of the desired license from avanan_list_licenses (e.g. 'complete_malware').
maxLicensedUsersNoOptional maximum number of users for the tenant under this license.
Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It reveals that this is a mutating action affecting a tenant's license and add-on assignments, but it does not disclose whether existing licenses are replaced, whether the operation is reversible, what side effects occur, or what the response looks like.

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 concise sentence with no filler or redundancy. It front-loads the core action ('Assign a license') and appends the optional add-on scope without wasting words.

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?

For a straightforward mutation tool with fully documented parameters and a clear purpose, the description is minimally adequate. However, with no output schema and no annotations, an agent would benefit from knowing what the API returns, whether the assignment overwrites existing license configuration, and any permission prerequisites.

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 parameter schemas already document all four parameters and their meanings. The description adds little beyond the schema, but the baseline of 3 is appropriate because the schema carries the semantic weight.

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 states a specific verb ('Assign') and resource ('a license ... to an existing customer tenant'), making it clear what the tool does. It adds 'optional add-ons' and 'existing customer tenant,' which helps distinguish it from tenant-creation and license-listing siblings, though it does not name the alternatives explicitly.

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 the tool is used when assigning a license to an existing tenant, but it provides no explicit guidance about when to prefer this over other operations or when not to use it. There is no mention of prerequisites such as first retrieving available licenses via avanan_list_licenses.

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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