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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses essentially nothing. The word 'Own' vaguely implies ownership or state mutation, but whether this reads, writes, or destroys data, what permissions it needs, and what it returns are all unstated.

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?

It is short, but that brevity comes from under-specification rather than economy of expression. The single fragment is not a usable instruction and leaves the agent with no front-loaded action or outcome.

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, no output schema, and no parameters, the description is the only source of information, yet it never says what the tool returns, what 'miss accounting' means operationally, or how to interpret the result. It is inadequate for an agent to invoke this tool correctly.

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 clarify beyond the schema; the baseline for a no-parameter tool applies. Schema coverage is 100% for the empty object, leaving no gap to compensate for.

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 fragment 'Own per-class calibration + miss accounting' hints at a calibration domain but supplies no verb explaining whether it generates a report, records a metric, or assigns ownership. Nothing here distinguishes it from siblings like check_brief or settle_outcome, so an agent cannot tell what this tool actually does.

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 call this tool, no prerequisites, and no mention of the sibling alternatives check_brief, duplicate_lookup, or settle_outcome. Usage has to be guessed entirely from the tool name.

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