netintel_phone_intel

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

With no annotations at all, the description carries the full behavioral burden. It does disclose the return fields (country, line type, carrier region, format variants), which is genuinely useful because there is no output schema. However it says nothing about what happens on an invalid/unparseable number, whether validation is purely structural or carrier-verified, or any external lookup/privacy implications.

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 tight sentences with the capability front-loaded and the return contract second; nothing is padded or repeated. It could be marginally denser by folding the parameter note into the same sentence, but it is close to optimal for 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?

For a simple two-parameter utility with no annotations and no output schema, the description covers purpose and return shape adequately. It falls short on country_hint semantics and failure behavior, which an agent needs to invoke the tool correctly across ambiguous inputs.

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 0%, so the description must define both parameters, and it effectively addresses only one: 'any format' hints that the phone input accepts loose formatting. The country_hint parameter, which is critical for disambiguating national-format numbers, is never mentioned in either the schema or the description.

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 uses a specific verb pair ('Parse and validate') on a specific resource (phone number) and enumerates the output dimensions, so an agent immediately knows this is a phone-number parsing/normalization tool. No sibling tool covers phone numbers, so there is no real ambiguity to resolve, but the description never explicitly differentiates itself from adjacent lookup tools (email_intel, ip_geo).

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?

Usage is only implied by the capability statement; there is no guidance on when to reach for this tool versus other validation/intel endpoints, no prerequisites, and no note about when a result is unreliable. 'Any phone number in any format' describes input flexibility, not when to use the tool.

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