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

With no annotations, the description carries the full burden, and it does disclose the data source (OKX) and the exact metrics returned. However, it says nothing about freshness/caching, rate limits, or that the call is read-only, and does not note the default-symbol behavior that the schema mentions.

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?

A single front-loaded sentence that leads with the resource and source, then lists the payload. The enumeration is long but every item is informative, so nothing meaningfully wasteful is present.

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, the description is the only source of return-value information, and it delivers that by naming all the metric families returned. What remains missing for a zero-annotation tool is minor behavioral context (freshness, read-only confirmation), so it is nearly but not fully complete.

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 100% and the single symbol parameter is already documented with an example and default (BTC). The description adds no parameter syntax or format detail beyond the schema, so the baseline of 3 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?

States a clear resource (derivatives data for a symbol on OKX) and enumerates the exact payload (open interest, long/short ratio, funding, CVD, taker volume, 1h candles, put/call, sentiment score), which is far more specific than the sibling names like get_market or get_metrics. It does not explicitly contrast itself with those siblings, so an agent must infer the boundary.

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 by the content list: an agent can infer this is the tool for derivatives/positioning metrics. There is no when-to-use statement, no mention of alternatives such as get_market or get_metrics, and no prerequisites or exclusions.

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