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

No annotations are supplied, so the description carries the full behavioral burden, yet it only says the tool runs an agent with native web_search tools. It does not say whether the call is slow or costly, whether results are fresh or cached, whether the search is read-only (safe to retry), or what the response contains — the parenthetical about web_search tools is the only real signal.

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?

It is a single front-loaded sentence with no padding, so nothing is wasted. But the brevity reads as under-specification rather than discipline — the parenthetical is the only concrete detail in the whole definition.

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 two-required-parameter tool with no annotations and no output schema, the description should say what the agent returns and when to prefer it over workspace.rag_query. Neither is covered, leaving gaps an agent would have to discover by trial.

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 50%: workspace_id is documented in the schema as a workspace UUID, and query is bare. The description adds only "notebook-scoped", which loosely links to workspace_id, and says nothing about query form (natural-language question versus keywords) or length limits, so it does not compensate for the undocumented query parameter.

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 verb-plus-resource is present ("Run a ... web search agent") and "notebook-scoped" indicates the workspace scoping. However, "agent" is vague about what actually comes back, and nothing in the text distinguishes it from workspace.rag_query, which an agent could easily confuse it with for a question-answering request.

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?

There is no when-to-use guidance at all: no statement of what kinds of queries suit a live web search versus the sibling rag_query, and no exclusions or prerequisites. The agent must infer from the name alone.

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