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

Beyond the annotations, the description discloses the security model ('Anyone with the link can read the data'), the auth requirement ('Needs a token'), and the non-obvious consequence of `fresh` ('the old one stops working'). That link-invalidation behavior goes meaningfully past idempotentHint=false and is exactly the kind of pre-call warning an agent needs; it sits in mild tension with destructiveHint=false only if read as data deletion, which it is not.

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 core purpose is front-loaded in the first clause and every subsequent sentence adds distinct information (query modifiers, sharing scope, `fresh`, token). The opening sentence is long and clause-stacked, but there is no filler.

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 no output schema and no annotations covering safety, the description does decent work on sharing and auth. Gaps remain: it is unclear whether the tool returns the URL, the CSV, or the snippet lines ('with the lines to do it' suggests snippets but is ambiguous), and the identity of `slug` is undefined. For a 2-parameter mutation tool these are real but not fatal omissions.

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 carry the parameter meaning. It explains `fresh` well, but `slug` — the required parameter — is never described; the agent must guess it is the table identifier. It also documents URL query modifiers (`?columns`, `?names`) that are not schema parameters, which is helpful but does not fill the `slug` gap.

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 makes clear this produces a private, token-bearing address that serves a table as CSV, with ready-made lines for notebooks, scripts, or spreadsheets. The resource and output are identifiable, but it never states a verb ('create'/'get a link') and never distinguishes itself from the sibling `export_table`, so an agent must infer the difference.

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?

Usage is implied through consumer contexts (notebook, script, spreadsheet) and a prerequisite is given ('Needs a token'), which is useful. However, there is no explicit when-to-use guidance relative to `export_table` or `share`-style siblings, and no statement of when a shared link is inappropriate.

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