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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuinely behavioral context not in annotations: this tool is gated behind two mandatory discovery calls and will only work if the body matches the exact schema discovered in step 2. It still says nothing about result size, pagination, or failure modes if the body is malformed.

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 purpose is correctly front-loaded and the numbered prerequisite steps are scannable. However, the placeholder example "actions=['xxxxxx', 'xxxxxx', 'xxxxxx']" is pure noise that cannot be acted on, and the ALL-CAPS 'REQUIRED'/'IMPORTANT' styling pads a short 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?

An output schema exists, so return values need not be explained, and the description supplies the full calling procedure including dependency sequencing. Given a deliberately free-form 'body' object, the definition tells the agent everything it can within this tool — though a one-line hint about what the body represents (e.g., a query spec for accounts/actions) would close the remaining gap.

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% and the single 'body' parameter is an untyped object with additionalProperties=true, so the schema conveys almost nothing. The description compensates only by reference — 'Rely on info from steps 1-2 to construct the query body' — telling the agent where to discover the structure rather than describing it. That is a useful pointer but leaves the parameter semantically opaque in this definition.

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 and resource ('Query GSC data') and frames itself as 'Step 3 (FINAL) of workflow', which implicitly separates it from query_contexts (steps 1-2). What 'GSC data' contains is not spelled out, and there is no explicit contrast with execute_action, so it falls short of 5.

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?

Gives an explicit, ordered prerequisite chain: call query_contexts with request='accounts', then request='actions_details', and 'Always call step 2'. That is real when-to-use guidance. It does not state when an agent should use execute_action instead of query_data, leaving the query-vs-action boundary to inference.

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