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

Annotations already cover the readOnlyHint=true and openWorldHint=true safety profile, so the description's job is to add process context — which it does by disclosing the mandatory two-call sequencing and the source of the query body. It stops short of describing failure modes or what happens when the body deviates from the expected structure, so not a 5.

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?

Front-loaded with the outcome, then a numbered prerequisite list, then a warning — a sensible order for a workflow tool. Minor waste in the doubled parenthetical "Step 3 (FINAL) of workflow" and the repeated 'xxxxxx' placeholders, but nothing that obscures the instruction.

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 no explanation, and the description covers the one thing an agent cannot infer — that the free-form body must be derived from prior query_contexts calls. Adequate for a workflow tool, though it could state what to do if available_actions lacks the needed action.

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 coverage is 0% and the single body parameter is a free-form object with additionalProperties=true and no declared properties, so the schema conveys nothing. The description partially compensates by directing the agent to query_contexts request='actions_details' for the exact body shape, but it never describes the body's contents itself, leaving the semantics one hop away.

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 ("Query Google Tag Manager data") and positions it as the final step of a three-step workflow, which implicitly distinguishes it from query_contexts (discovery) and execute_action (mutation). What kind of GTM data is returned is not specified, but the action itself is unambiguous.

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?

Explicitly declares the prerequisites: call query_contexts with request='accounts', then request='actions_details' with actions drawn from available_actions, and reinforces with "Always call step 2 ... before querying." This is a rare case of genuine when/when-not/ordering guidance rather than implied usage.

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