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

No annotations are provided, so the description carries the full behavioral burden. It usefully signals a point-in-time read ('current snapshot') that distinguishes it from historical/backtest tools, but says nothing about freshness/refresh rate, permissions, rate limits, or whether the snapshot can be stale or empty.

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?

One dense sentence with the resource front-loaded and no filler. The colon-delimited field list is efficient, though it reads more like a data inventory than a description of behavior.

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 output schema and no annotations, the description must carry the return-value burden, and it partially does by listing the signal fields. However, it omits interval semantics and any behavioral caveats, leaving meaningful gaps for a two-parameter, zero-coverage tool.

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 0%, and the description only hints at the symbol parameter ('one symbol'). The interval parameter (2h/4h) is never mentioned, so the agent gets no guidance on what timeframe selection means even though enum values are self-labeling.

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 (signal snapshot for one symbol) and enumerates the fields returned (trend-channel direction, CVD cross, price cross, position state, latest action), so the agent knows exactly what it gets. It implicitly separates this from the plural sibling get_signals via 'one symbol,' but never names the sibling explicitly.

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: 'for one symbol' suggests single-market lookup vs the plural get_signals, and 'current' contrasts with backtest_signal, but neither alternative nor any when-not condition is stated. An agent must infer the routing decision.

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