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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds the important behavioral nuance that only the first rows and columns are read (a partial sample, not the full dataset), but says nothing about connection/auth requirements or result limits per source type.

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 with no filler or redundancy; the core action and the limiting scope appear immediately. It is arguably too terse given the undocumented parameters, but that is a completeness problem, not a verbosity one.

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 three undocumented parameters, no output schema, and an open-world read against external providers, the definition does not supply enough for an agent to call it confidently — particularly how sheet_id relates to link and what a preview response contains. The annotations cover safety but not invocation detail.

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 carries the full burden for three parameters and effectively provides nothing: link, connection_id and sheet_id are never explained, nor is the relationship between a connection and a link. Only the source-type hint (Sheet/Excel/Airtable) indirectly suggests what a link may point to.

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 uses a specific verb ("Reads") and a well-defined scope ("the first rows and columns") over named resource types (Google Sheet, Excel workbook, Airtable view). It is clearly a non-destructive sampling/preview operation, distinguishable from import siblings, though it never names those siblings 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 phrase "before an import" gives an implied usage window, which is genuinely helpful context. However, it does not name the alternatives it should be chosen over (import_from_source, list_cloud_imports, get_connection_columns) nor state any precondition or exclusion.

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