apply_approved_mutation_batch

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

With no annotations, the description must carry the full behavioral burden. It does disclose real behavior beyond structured fields: the approval phrase is bound to customer plus operations, any payload change invalidates the phrase, and revalidation reruns immediately before the live mutation. It still omits reversibility, partial-application behavior on mid-batch failure, and permission requirements for a destructive live write.

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?

Four short sentences, front-loaded with the gating constraint, and every sentence adds a distinct operational fact. Minor jargon ('the bridge,' 'normalized customer') is undefined and costs a bit of clarity without padding the length.

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 restated, and the description covers the approval, binding, and revalidation mechanics that govern correct invocation. For a high-risk live-mutation tool with zero annotations, it could go further on failure modes or irreversibility, but nothing essential to calling it is missing.

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% across three required parameters, so the description has to compensate. It gives meaningful semantics for approval_phrase (bound to the normalized customer and prepared operations, invalidated by any payload change) and implicitly links customer_id to the 'normalized customer,' but it says nothing about the shape or item structure of the free-form operations array.

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 pairs a specific verb ('Apply') with a specific resource ('an exact batch') and makes clear this is a live mutation gated on owner approval. It does not name the sibling tools it depends on (validate_mutation_batch, create_paused_batch), so an agent must infer the relationship rather than read it, but the core action 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?

It states a hard precondition: apply 'only after the account owner explicitly approves the validated payload,' and implies a prior validateOnly pass. However, it never explicitly says which sibling produces the validated payload, nor does it state when to use create_paused_batch or validate_mutation_batch instead.

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