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

With no annotations, the description carries the full burden, and it performs well: it states the data is snapshotted once at 08:30 ET and frozen for the session (not a live feed), is freely readable, and represents options-dealer positioning rather than a recommendation. This prevents a common misread that the tool gives live or advisory signals. It lacks a couple of minor disclosures such as error/availability 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 opening front-loads the purpose well, and the total length is reasonable. However, the final two sentences — the URL and the compliance disclaimers — are consumer-facing noise that don't help an AI agent select or invoke the tool, and they dilute the operational signal.

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 two-parameter read-only lookup, the description covers what data is returned (call wall, put wall, gamma flip) and its interpretation context. The lack of an output schema means the description could do more to specify the numeric format of the levels, which is left entirely unspecified.

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 both parameters already carry descriptions: date format + default and symbol enum + default. The description adds nothing about the parameters beyond saying 'for a symbol', so the pre-set baseline of 3 is appropriate.

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: the call wall, put wall and gamma flip for a symbol, captured at 08:30 ET and frozen for the session. It distinguishes this from the graded sibling tools by framing it as the pre-close snapshot that gets graded after close, but it never names a 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?

The description conveys clear context around when the tool is meaningful (it is a session-frozen snapshot, later graded against the real high and low) and even includes a constraint on how the result should be presented. However, it provides no explicit guidance on when to use this tool versus the sibling tools like get_graded_record or get_session_replay.

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