generate_alt

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 mentions 'using vision AI' but does not disclose potential side effects, return format, or prerequisites (e.g., public accessibility of the URL). This is a significant gap for a tool with no output schema.

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, concise sentence that immediately conveys the core purpose. It is well-structured and front-loaded, with no unnecessary words or repetition.

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 absence of an output schema, the description should explain what the tool returns (e.g., the generated alt text string), but it only states the action. It also omits important context about input requirements, making it incomplete for an agent to anticipate the tool's 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?

The description adds minimal meaning to the single parameter 'imageUrl' by saying 'image URL,' which essentially restates the schema property. With schema description coverage at 0%, the description does not compensate by providing additional context such as accepted formats or URL requirements.

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 function: 'Generate accessible alt text for an image URL using vision AI.' It uses a specific verb ('generate') and a specific resource ('alt text for an image URL'), which unambiguously distinguishes it from sibling tools like 'audit_lcp' or 'generate_responsive_tag'.

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 implies the tool should be used when alt text is needed for an image URL, but it does not explicitly state when to use it versus alternatives or provide any exclusions. The sibling tools are clearly different, so the context is implied rather than explicitly stated.

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