validate_itr

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

With no annotations, the description carries the full behavioral burden and largely does not: it never says the tool is a read-only check that mutates nothing, what source of ITR data it reads given zero parameters (implicit shared/session state), or how severe a failure is signalled. The only behavioral fact offered — that results are errors and warnings — duplicates what the output schema already provides.

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?

Two short sentences with the action front-loaded and no filler. The second sentence is slightly wasted effort given an output schema exists, but it costs almost nothing.

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 zero-parameter validation step whose return shape is documented by the output schema, the description covers the essentials but leaves the crucial workflow context unspecified — namely what data is validated and where in the ingest→compute→generate→validate sequence it belongs. In a 15-tool sibling set that omission matters.

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?

The tool takes zero parameters, so there is no parameter meaning to add beyond the schema. Baseline 4 applies since the agent has nothing to misconfigure.

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?

"Validate complete ITR data" states a specific verb and resource, which is enough to distinguish it from compute_* and ingest_* siblings at a glance. It does not, however, explicitly contrast itself with near-neighbors like reconcile or detect_schedules, which also operate on the assembled return data.

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?

The description gives no when-to-use guidance: nothing says this should run after ingest_* and generate_itr_json, nor whether it can be run mid-workflow. The word "complete" hints at a precondition but never states or excludes anything.

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