verify_logbook

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

With no annotations, the description carries the full burden and does disclose a key behavior: it returns 'ok, event count and any problems in plain English', implying a non-mutating audit whose value is human-readable diagnostics. It omits other behavioral traits an agent needs, such as whether the call is read-only guaranteed, how expensive a full-chain scan is on a large logbook, or what happens on partial corruption.

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 short sentences with zero filler, the action and scope front-loaded and the result shape following immediately. Every clause 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?

An output schema exists, so the description need not explain return values, and with zero parameters there is little surface area to cover. The remaining gap is the absence of cost/scale or read-only context for a potentially full-logbook scan, which for a simple tool is minor.

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 tool takes zero parameters, so there is nothing for the description to disambiguate beyond what the empty schema already conveys. The base score for a parameterless tool applies.

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 ('Check') and a precise resource and scope ('the whole logbook's hash chain'), which lets an agent distinguish this integrity check from the sibling writers/readers (log_event, recent_events, export_logbook) without opening any schema. It stops short of explicitly naming a sibling or contrasting scope, which keeps it from a 5.

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?

Usage is only implied: the mention of checking the 'whole' chain suggests a full-integrity audit rather than an incremental read, but there is no explicit when-to-use, when-not-to-use, prerequisites or alternative-tool routing. An agent can infer the purpose but gets no decision rules.

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