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

With no annotations, the description carries the burden and does well by disclosing that each block 'degrades independently' and that the data is 'LIVE' versus the sibling's 'lagged academic surface'. It also defines what the verdicts mean (plain-language verdict, labelled backwardation vs contango). A small gap remains: no mention of error behavior if a block fails or rate limits, but the independent-degradation note is valuable.

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?

Three dense sentences with zero filler: the first front-loads the tool's content, the second gives use cases, and the third clarifies date and sibling distinction. Every clause earns its place and the capitalization/labels aid scanning.

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 3 simple params, no output schema, and no annotations, the description covers the main semantics (live data, independent degradation, use cases, legacy alternative). It is slightly light on output structure (e.g., rows, expiry count) but is otherwise complete for a data-snapshot tool with straightforward parameters.

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 low (33%: only ticker is described as a path parameter; date and limit lack descriptions). The description compensates with the 'Omit date for the latest session' usage hint for date, but limit's meaning (max number of expiries/rows) is not explained either in schema or description, leaving that parameter under-specified.

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 opens with 'LIVE implied-volatility analytics in one call' and enumerates the three delivered blocks: IV RANK, SKEW, and TERM STRUCTURE, each with a one-phrase definition. It explicitly distinguishes itself from /intel/vol_surface ('NOT the same as...'), making the tool's scope unmistakable.

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?

Use cases are explicit: 'should I buy or sell premium on X', 'earnings-vol setups', and 'hedging cost'. It also gives a clear alternative exclusion ('NOT the same as /intel/vol_surface') and states the date behavior ('Omit date for the latest session'), providing concrete when-to-use and when-not-to-use guidance.

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