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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is covered. The description adds the useful chaining context that returned ids are consumed by read_search_dataset, but says nothing about pagination, empty-project behavior, or dataset staleness.

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?

Two short sentences, zero filler. The return value is front-loaded and the routing instruction follows immediately after.

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 describe returns, and it does: the dataset list plus ids. For a single-param read-only tool whose annotations carry the safety profile, that is close to sufficient; only pagination and edge-case behavior are unaddressed.

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?

Only one parameter (project_id) and schema description coverage is 0%. The description implies project scoping ('for this project'), which matches the parameter name, but adds no format, default, or sourcing detail beyond the self-evident name.

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 the exact resource set it returns (keyword, competitor, backlink datasets with their ids) scoped to a project, and explicitly distinguishes itself from the sibling read_search_dataset. It lacks an explicit leading verb like 'list', but the intent is unmistakable.

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 routes the agent to the correct follow-up tool: 'Pass a dataset_id to read_search_dataset for its rows.' That is clear when-to-use-this vs. when-to-use-the-sibling guidance, though it doesn't say when this tool is unnecessary (e.g., if you already hold a dataset_id).

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