vision_check

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

No annotations are present, so the description carries full responsibility. It usefully warns that the operation can be slow and lists the types of checks performed. However, it does not disclose output format, side effects, or failure behavior, which would be valuable for a diagnostic tool.

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, front-loaded sentence: it states the action and then adds scope and a performance cue in a parenthetical. Every word earns its place, with no redundancy.

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?

The scope is clear, but the description does not explain what the health check returns (e.g., a pass/fail status, detailed results, or metrics). Since there is no output schema, this leaves the agent uncertain about how to interpret the result. Still, for a zero-parameter tool, it is reasonably adequate.

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 tool has zero parameters, so the schema trivially covers everything. The description adds no parameter-specific meaning, but the baseline of 4 for no-parameter tools is appropriate.

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 a specific verb ('run') and resource ('environment health check'), and enumerates the covered capabilities (image reading, transcription, video sampling). This distinguishes it from the sibling tools, which each handle a single capability.

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 usage is implied by the description: this is the aggregate health check tool. However, it does not explicitly state when to prefer this over the individual tools like describe_image or transcribe, nor does it mention any alternatives or exclusions.

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