read_list_column

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

With no annotations, the description carries the full burden and does so: it discloses the async/eventually-consistent nature of dynlists, that refresh=True forces an F5 requery and polls until stable so value=None is trustworthy, that refresh=False opts out, and that table-resolution failures emit structured diagnostics rather than a false empty. This is exactly the behavioral context an agent needs and gets from nothing else.

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?

Purpose and the key usage constraint are front-loaded, but the definition is bloated: an embedded Russian-language narrative, a MECHANISM paragraph justifying the replay approach, and live-verification examples that inform an implementer more than a caller. The refresh/consistency content earns its place; the replay-justification prose does not.

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 high-complexity tool with an output schema (which covers the returns, redundantly re-listed here), the description is quite complete on behavior and caveats. The remaining gap is that three connection/capture parameters are undocumented, and no permission or authentication prerequisites are stated.

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%, so the description must compensate, and it does so for four of seven parameters (column, open_link and table with examples, refresh with default semantics). host, port, and capture_dir are never explained, leaving real gaps. Because the schema provides no per-parameter help, this is only partially adequate.

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 opening sentence gives a specific verb (read), a precise resource (current/first row value of a dynamic-list column), and a specific context (catalog LIST form). It then explicitly differentiates itself from the sibling read_table_cell by scoping that tool to FORM tables, so an agent can route correctly without opening either schema.

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 gives an explicit alternative (read_table_cell for FORM tables) and a conditional rule for refresh (True default vs False for absence assertions). It does not, however, address when to prefer this over the other list-reading siblings (read_list_row, read_list_grid, read_list_grid/search_list), leaving some routing ambiguity.

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