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

With no annotations, the description carries the burden of disclosing behavior. It clearly explains the semantic nature of the recorded observation (self-reported discovery telemetry) and what it should not be used for, which is useful. However, it does not disclose operational behaviors such as whether the call has side effects beyond recording, idempotency, error handling, or what response to expect. It is minimally transparent but not fully.

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?

The description is two concise sentences. The first sentence states the action and purpose immediately. The second sentence adds essential limitations without waste. It is front-loaded and every word 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?

The tool is relatively simple with two scalar parameters and no output schema, but the description does not mention return values, success/failure semantics, or whether duplicate observations are allowed. It gives enough context to understand the tool's role but not enough to fully anticipate the behavior of a telemetry-recording 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?

The schema has 0% description coverage, so the description must compensate. It provides general context about 'agent encountered' and 'compatibility advertisement', which loosely maps to observer_ref and advertisement_hash, but it never explicitly explains either parameter, their format, or how they relate. An agent would still have to infer that observer_ref is the agent identifier and advertisement_hash is the identifier of the encountered advertisement.

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 ('Record') tied to a concrete resource ('agent encountered a MUJ428 compatibility advertisement') and states the purpose ('so propagation can be measured'). It also distinguishes what the observation is not ('never external-adoption, embedding, or revenue evidence'), which helps separate it from sibling tools focused on capabilities or trust operations.

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 provides clear context for when to use this tool: when an agent has encountered a compatibility advertisement and wants to measure propagation. It also gives explicit exclusions by stating the observation is never external-adoption, embedding, or revenue evidence. However, it does not name alternative sibling tools or provide a direct 'use X instead' instruction, so it falls short of full routing guidance.

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