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

With only readOnlyHint=false in annotations, the description carries most of the behavioral burden. It usefully discloses synchronous execution, a 7,500-row hosted default, a 10–20 second response budget, and identifier deduplication. However, it does not describe output shape, failure behavior, side effects, or any permissions requirements, leaving the picture incomplete.

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 description is compact: three sentences with the core operation front-loaded and the scaling constraints after. There is minimal filler, though jargon like 'v0' and 'loopback' slightly reduces accessibility.

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 tool with 13 parameters, nested objects, an anyOf requirement, and no output schema, the description is far from complete. It does not explain the required items structure, the from_system versus geography_binding choice, row-level overrides, or what the synchronous job returns. An agent would still need substantial schema inference and sibling exploration to call it correctly.

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 only 31%, so the description must compensate, but it names no parameters directly. It alludes to output formats and the row cap, and 'preserved scalar fields' hints at the data parameter, but from_system, geography_binding, to_system, target_admin_level, min_share, quote_id, and others remain unexplained. The description adds little beyond what the schema already exposes.

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 states a specific verb and resource: 'Creates a synchronous v0 user-data conversion job' and enumerates supported output formats, so the operation is identifiable. It is clear but does not explicitly differentiate itself from siblings like estimate_conversion_job or convert_reference; the 'user-data' and 'synchronous' qualifiers only imply a distinction.

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 guidance about when to use this tool versus alternatives such as estimate_conversion_job or convert_reference. The hosted/local loopback contrast is behavioral scaling context, not a use-case selector. Prerequisites, sequencing, or exclusion conditions are absent.

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