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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds genuine behavioral context beyond that by disclosing the exact write target (category=identity, namespace=shared/agent-feedback, key=intro:<model>-<date>), which also explains why the operation is idempotent within a day. It does not describe the response, but the storage disclosure is valuable.

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?

Front-loads the purpose and optionality, then the storage shape, then the content guidance. Every line earns its place and there is no redundant filler.

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?

No output schema exists, but the description covers what is stored (model info + note), where it is stored, and what to include, which is sufficient for a simple write tool. The only minor gap is return/confirmation behavior, which is not critical for this optional self-registration call.

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, including examples for model and platform. The description reinforces the intent ('what model you are, what platform you're running on') but adds no format or syntax detail beyond the schema, making the baseline 3 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?

States a specific verb+resource ('introduce yourself to the platform') and immediately clarifies the effect: it stores model info and a note in the shared agent registry. It further distinguishes itself from store_fact by revealing the fixed category/namespace/key pattern it writes to, so an agent can tell it apart from the generic fact-storage siblings.

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?

Flags the tool as 'Optional' and hints at first-connect usage ('anything you noticed on first connect'), which gives implicit context. However, it never states when to prefer this over store_fact, nor any when-not conditions or prerequisites, leaving the routing decision largely to inference.

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