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

The description adds useful behavioral context beyond the read-only/open-world annotations by listing the returned technical fields, timeframes, and recommendation scale semantics. It does not explain freshness, candle timing, or response structure, but for a read-only data tool it discloses the core output behavior.

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?

The definition is a single, dense sentence that front-loads the core purpose and then lists the relevant indicators. It contains no filler and gives the agent the essential return semantics immediately.

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?

Given the rich schema coverage, annotations, and no output schema, the description is largely complete: it tells the agent what technical data comes back and the meaning of the recommendation scale. It leaves minor gaps around output structure per symbol and timing/freshness, but nothing critical for 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?

The single optional symbols parameter is fully documented in the schema, including format and the omit-for-all behavior. The description does not add any parameter meaning beyond what the schema already provides, so the baseline score 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 clearly identifies the resource as per-symbol technical data and enumerates the exact indicators returned, including the TradingView recommendation scale and timeframes. It is distinct from siblings such as get_quotes or get_currency_strength, though it does not explicitly name or contrast those alternatives.

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?

It does not state when to use this tool versus alternatives such as get_quotes or get_currency_strength. The technical content implies a use case, but there is no explicit guidance, exclusions, or prerequisite information.

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