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

With no annotations supplied, the description carries the full burden and does substantial work: it discloses the price and rail ("$0.02 USDC on Solana per log"), that payment buys exactly one signed analysis, that no buyer identity appears anywhere in the report, and that unsupported counts are reported NOT-COMPUTABLE rather than estimated. These are real behavioral commitments an agent cannot get from structured fields. It stops short of covering failure/payment-refund behavior, rate limits, or what "signed" attests to.

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?

Two dense sentences with no filler; the price is front-loaded and each clause adds a distinct fact (deliverables, computation basis, privacy, non-estimation). The first sentence is long and packs pricing, payment mechanics, and six output types into one breath, which slightly hurts scanability, but nothing is wasted.

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?

With no annotations and no output schema, the description does most of the necessary work: it enumerates the report contents, states the privacy posture, defines the degradation behavior for unsupported counts, and states the cost. Remaining gaps are the relationship to the sibling criteria/precheck tools and the meaning of the signed receipt, but neither blocks a correct invocation.

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 both `log` and `as_of`, establishing the baseline of 3. The description adds some meaning beyond the schema — the conditional "per-rail split where the log carries a rail field" clarifies that the optional rail field changes the output shape, and NOT-COMPUTABLE defines what happens when the log lacks supporting data. It never mentions `as_of` or how the evaluation timestamp affects the counts, leaving that entirely to 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?

The description names a specific verb and resource ("one signed lifecycle analysis of the challenge-issuance log you submit") and enumerates the exact deliverables: issued/used/expired-unused/pending counts, expiry-window distribution, and per-rail split. It is clear enough that an agent understands precisely what comes back. It does not, however, name or distinguish itself from the lifecycle_criteria and lifecycle_precheck siblings, so sibling differentiation is left to inference.

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?

There is no statement of when to use this tool versus alternatives, and no mention of whether lifecycle_precheck or lifecycle_criteria must be run first — even though the phrase "computed mechanically under the published rules" hints at a prerequisite toolchain without naming it. Input guidance (log in "the published log contract form") is present, but that is not usage guidance. No exclusions or preconditions are given.

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