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

With no annotations, the description carries the behavioral load. It discloses that the output consists of work examples with public image URLs, implying a non-mutating read operation. It does not mention response structure, defaults, error behavior, or whether any lookup filtering applies beyond the described arguments, leaving gaps.

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 a single, information-dense sentence that front-loads the tool's purpose before listing parameter constraints. It is compact with no filler, though the aliases note is appended at the end which slightly reduces scannability.

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 there is no output schema or annotations, the description provides the key output characteristic (public image URLs) but misses response shape, default limit (though the default is in the schema), and any edge-case behavior. It is adequate for basic invocation but not fully complete for an agent predicting tool behavior.

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%, but the description compensates well: it enumerates accepted lang values, explains that service is a keyword matching accent-insensitively across multiple languages with concrete examples, and gives the limit range. It also clarifies that category and language are aliases, which adds meaning beyond the raw parameter names.

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 identifies the tool as returning Trustpack work examples with real product photos and public image URLs, which goes beyond the tool name to specify the resource and output. It does not explicitly distinguish itself from siblings, but the content is distinct enough from company info, FAQ, services, and languages.

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 context is implied: the tool is for retrieving portfolio work examples, and the parameter guidance (lang, service, limit) indicates when to use it. However, there is no explicit statement about when not to use it or how it relates to alternatives like get_services or get_company_info.

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