licensing_validate

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states the endpoint does NOT require authentication (a key behavioral trait), that the license key itself is the credential, and describes the return payload (plan features, org name, billing period end, trial info). It doesn't describe error cases for invalid/expired keys or rate limiting, but the core behavioral traits are well disclosed.

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

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

Three sentences, no waste. The most important facts are front-loaded: purpose, auth requirement, return payload, and call cadence. It's slightly dense but every sentence earns its place.

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

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

For a validation tool with 3 well-documented parameters and no output schema, the description covers the essential context: purpose, auth model, return data, and call frequency. It doesn't describe error handling or what happens with invalid/expired keys, which would be valuable for this type of tool, but overall it's quite complete given the tool's complexity.

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

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

Schema description coverage is 100%, so the schema already documents all three parameters (licenseKey, instanceUrl, instanceName) with their purposes. The description adds context about the licenseKey being 'the credential' and that instanceUrl/instanceName are 'stored for identification,' which maps to schema semantics. The description doesn't elaborate on formats beyond the schema, so baseline 3 is appropriate.

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

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

The description uses a specific verb+resource ('Validate a self-hosted license key') and clearly states what's returned: plan, features, subscription details, organization name, billing period end, and trial info. It distinguishes itself from sibling licensing tools (licensing_create_key, licensing_list_keys, licensing_revoke_key) by focusing on validation/retrieval rather than management.

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

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

The description clearly states when to use this tool: 'Used by self-hosted instances every 24 hours.' It also clarifies an important exclusion context by stating this endpoint does NOT require authentication since the license key is the credential. While it doesn't explicitly name alternative tools, the 'every 24 hours' cadence plus the validation focus provides clear usage context among the licensing siblings.

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