create_job_work_out_order

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

Annotations are all false, so the description carries the behavioral burden and it delivers: 'Confirmed live: creates cleanly with no exceptions' is genuine operational insight, and the voucher-type-active prerequisite warns of a realistic failure mode. The voucherNumber parameter description also discloses the known auto-numbering outage and the get_vouchers retry strategy. No contradiction with annotations — readOnlyHint=false is consistent with a create operation. Minor gap: no statement about what the response returns on success beyond 'no exceptions.'

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?

Dense but purposeful — every sentence earns its place (scenario, mirror relationship, direction convention, live confirmation, prerequisites, required fields). Slightly redundant in explaining the accounting direction twice ('flipped' and 'inward expected receipt rather than outward delivery'), but the front-loading of core purpose before structural details is well ordered.

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 complex nested creation tool with no output schema and minimal annotations, the description covers every decision-relevant aspect: when to use it, how it relates to siblings, the nested item/component structure, prerequisites, required fields, and a confirmed-live status. Even the schema's nested-object complexity (which the context signal under-reports) is explicitly explained in the description, so nothing an agent needs to invoke it correctly 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 100%, so the baseline is 3 and the schema already documents every parameter well. The description adds value above the schema by framing the conceptual mapping: each item line is the finished item expected back, while the nested components list is the raw materials to send out. This clarifies the semantics of the whole items array in business terms that the flat schema properties alone don't convey.

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 ('Create a Job Work Out Order in TallyPrime') with a precise business scenario: this company is the principal sending raw materials to a job worker and expecting finished items back. Explicitly differentiates from its near-twin sibling create_job_work_in_order by calling it the mirror image with the accounting direction flipped, so an agent can distinguish them without opening either schema.

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?

Explicit when-to-use guidance: 'used when this company is the principal, sending raw materials out to a job worker (subcontractor) and expecting a finished item back.' Names the alternative (create_job_work_in_order) and the direction relationship via the existing create_sales_order vs create_purchase_order sign convention, which lets an agent generalize from sibling pairs it may already understand. Also states the voucher-type-active prerequisite.

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