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

With no annotations, the description carries the full burden and does add real behavioral context: it discloses that no PII is stored and that classification is derived from a single Δt1 sample. It omits what the emitted law looks like (label vs. parameters), whether one sample is sufficient for reliable classification, and any determinism caveats.

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?

A single front-loaded sentence with no filler; the resource and the privacy guarantee both land immediately. Slight density of jargon ('backoff/jitter distribution law', 'Δt1') is the only cost.

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 one-parameter classifier with no annotations and no output schema, the description should say what the classification returns and how confident/usable it is from a single latency sample. It covers the privacy trait but leaves the result shape entirely unspecified.

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 coverage is 100% and the one parameter is fully described there ('observed delay between HTTP 529 challenge and retry #1 in milliseconds'). The description's 'Δt1 in milliseconds' restates that rather than adding units, ranges, or validity constraints beyond the schema.

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 ('classifies') and a specific resource ('client SDK backoff/jitter distribution law'), plus the input it derives from (retry inter-arrival latency Δt1 in ms). An agent can tell what it produces without opening the schema, though it does not differentiate itself from any named alternative.

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 implies the input context (a first retry after an HTTP 529) but gives no explicit when-to-use, no prerequisites, and no when-not-to-use or alternative. The single cited measurement point is the only usage signal.

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