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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description adds genuinely new behavior detail by disclosing the return is CSV text with a fixed column set (name, category, type, tech stack, verified owner, confidence, watched since), which tells the agent what it will actually receive.

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?

One front-loaded sentence with no filler; the parenthetical column list is long but earns its place because no output schema exists to convey the return shape. Nothing is repeated from the annotations.

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, the description must carry the return contract, and it does by listing the CSV columns and likening it to the dashboard export. Minor gap: it doesn't say whether the value is a raw CSV string versus a file URL, which matters for consumption.

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?

The tool takes zero parameters, so the baseline is 4; there is nothing for the description to compensate for. The column enumeration is output-related rather than parameter-related and does not create ambiguity.

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?

States a specific verb+resource+format: the user's watchlist rendered as CSV text, and enumerates the columns produced. It doesn't explicitly name the sibling get_watchlist as the non-CSV alternative, so the differentiation from that sibling is left implicit.

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 'the same file as the dashboard's Export button' gives the agent a mental model and implies usage (exporting rather than reading), but it never states when to prefer this over get_watchlist or whether any preconditions exist. Usage is inferred, not specified.

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