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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), so the bar is lower, and the description adds non-obvious behavior: the returned content differs across unauthenticated, free-account, and paid-plan callers, and the output is instructions rather than data. The only gap is that it never says how the response is structured or what happens if the named tools are not accessible at the caller's tier.

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 two sentences are near-verbatim duplicates that differ only in the account-tier condition ('Without signing in' vs 'Signed in with a free QuantGeeks account'), repeating 'a basic six-step workflow for reading a symbol's board with these tools' twice. The useful substance is concentrated in the third and fourth sentences, so the front-loading is wasted on redundant boilerplate.

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 zero-required-parameter workflow tool with an output schema (so return values need not be explained), the description covers the essential points: that it returns instructions, what the instructions contain, the call ordering, that rules must be applied afterwards, and the default symbol. The tiered-behavior statements are garbled but still convey that depth of output depends on the account.

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% for the single `symbol` parameter, so the description must carry the meaning, and it does note the parameter is optional with a default of SPX — information not present in the schema (which specifies no default). It stops there, adding nothing about accepted symbol format or behavior when the symbol is out of coverage.

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 deliverable: a step-by-step workflow telling which QuantGeeks tools to call in which order and which rules to apply to their output. It explicitly separates itself from the sibling get_* tools by stating it 'returns instructions, not data and not a verdict', so an agent can tell it is a planning/routing tool rather than a data fetcher.

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 states the triggering context (when reading a symbol's board) and enumerates the tools involved (active levels, SPX/SPY/QQQ ladders as a committee, node history, expiration map, readings, regime reads), which gives the agent a concrete call sequence. It also signals that content varies by account tier, though it does not say when to prefer this over simply calling the underlying get_* tools directly.

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