fetch_osint_info

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the core functionality (checking WhatsApp registration and profile picture details) but lacks critical behavioral traits such as authentication requirements, rate limits, error handling, or whether it performs external API calls. For a tool that likely queries external services, this omission is significant.

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 appropriately sized and front-loaded, with the first sentence stating the primary purpose clearly. However, the phrasing 'adeptly determines' and 'furnishes' is slightly verbose, and the second sentence could be more streamlined. Overall, it's efficient but not perfectly concise.

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?

Given the tool's moderate complexity (external verification likely), no annotations, and no output schema, the description is incomplete. It covers the basic purpose but lacks details on behavioral aspects, error responses, or output structure. While it's adequate for understanding what the tool does, it doesn't provide enough context for reliable agent invocation without additional assumptions.

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 input schema has 100% description coverage, with the 'phone' parameter well-documented in the schema. The description adds no additional parameter semantics beyond what the schema provides (e.g., it doesn't clarify format beyond 'countrycode and number' or explain edge cases). This meets the baseline score of 3 when schema coverage is high.

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 clearly states the tool's purpose with specific verbs ('determines', 'provides insights', 'furnishes') and resources ('whether a given number is registered on WhatsApp', 'visibility of the profile picture', 'public URL of the image'). It distinguishes itself from sibling tools by focusing specifically on WhatsApp number verification and profile picture information, which is distinct from tools like 'business_insights' or 'privacy_settings'.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or compare it to sibling tools like 'base64_encoded_profile' or 'status', which might offer related functionality. The agent must infer usage from the purpose alone without explicit direction.

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