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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds useful context beyond annotations: the 30-minute turn cadence, the 45-minute staleness threshold, and that the view is composed from logs and venue without asking a model. It does not describe return format or pagination, but no output schema exists and the content overview is reasonably complete.

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 a single dense sentence-like passage with multiple clauses; the important scoping facts (staleness, source, not a forecast) are present but not front-loaded, and there is some redundancy in describing what is composed. It earns most of its words but could be tightened and structured with shorter sentences.

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 read-only single-parameter tool with no output schema, the description covers the source of data, cadence, staleness, and the categories returned, which is enough for an agent to invoke correctly and interpret results. It stops short of specifying the exact response shape, but that is acceptable given the content summary.

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 enum lists the three markets, so the schema already documents the parameter. The description reinforces that the tool composes a view across markets when no market is given via 'each market's decision,' which clarifies the omitted-parameter behavior beyond the schema text.

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 resource ('the house Nemotron desk') and enumerates what it returns: last turn, per-market decisions, which reader decided, facts read, and venue positions with PnL. It also explicitly states 'Not a forecast,' which helps distinguish from the 'forecast' sibling, though without naming it directly. No other sibling tool appears to expose desk state, so differentiation is implicit rather than explicit.

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 implied by the contents described, but there is no explicit when-to-use / when-not-to-use guidance or mention of alternative tools. The 'Not a forecast' note hints at a boundary but does not direct the agent to the forecast tool or explain when this desk read is preferable.

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