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Storno CLI

by stornoro

anaf_validate_cif

Validate that an ANAF token has proper access to e-Factura for a specific CIF. Checks organization ownership, ANAF registry, and e-Factura permissions, returning results and error messages.

Instructions

Validate that an ANAF token has proper access to e-Factura for a specific CIF. Checks organization ownership, ANAF registry, and e-Factura access permissions. Returns validation result with any error messages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe ANAF token ID to validate (integer ID from anaf_tokens)
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the checks performed and states it 'Returns validation result with any error messages,' which clarifies the tool is a validation (likely read/idempotent) operation. It doesn't describe side effects, whether errors are thrown versus returned, or how strict the validation is, but the description is reasonably transparent about the validation nature.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, zero waste. Each sentence adds value: the first states the purpose, the second enumerates the specific checks, the third describes the return. Perfectly front-loaded with the verb and purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter validation tool with no output schema and no annotations, the description does a solid job: it names the three validation dimensions, states the return type ('validation result with any error messages'), and clarifies the CIF-specific scope. It could arguably detail what a 'validation result' looks like more concretely, but for the tool's simplicity this is well-covered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% — the single 'id' parameter is documented as 'The ANAF token ID to validate (integer ID from anaf_tokens).' The description adds the context that this is the token whose e-Factura access is being validated, but with only one required parameter fully documented in the schema, the description adds modest context referencing that the ID comes from anaf_tokens. This is adequate, not exceptional.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Validate'), the resource (ANAF token), and the specific scope: 'has proper access to e-Factura for a specific CIF.' It explicitly enumerates the three checks performed (organization ownership, ANAF registry, e-Factura access permissions), distinguishing it from sibling tools like anaf_status, anaf_tokens, and anaf_sync_* which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this is used when you need to verify e-Factura access for a specific CIF, which is clear context. However, it doesn't explicitly state when NOT to use it or name alternatives (e.g., anaf_token_creation, anaf_status for checking overall ANAF connectivity). The 'specific CIF' framing gives useful context but lacks exclusions.

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

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