Analyze Screenshot

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

With no annotations, the description carries the full behavioral burden. It discloses one meaningful operational constraint — the dependency on a configured VLM provider — which is genuine added value beyond structured fields, but it says nothing about supported image formats, latency/cost, or failure behavior when the provider is unconfigured.

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 short sentences with zero filler, and the core purpose is front-loaded ahead of the prerequisite. Nothing is wasted.

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?

An output schema exists, so return values need not be described, but the definition still falls short: no annotations, 0% parameter documentation, no differentiation from capture_and_analyze or compare_images. For a two-required-param vision tool in a crowded sibling set, the description is under-specified.

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% for two required parameters, and the description adds essentially nothing: it never explains that image_path is a filesystem path or that prompt is the VLM instruction. The names are suggestive but not documented, so an agent gets no format or usage detail from either source.

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?

States a specific verb and resource ('Analyze a screenshot') and adds the mechanism ('with a VLM'), which cleanly separates it from capture_screenshot. It does not, however, distinguish itself from siblings like compare_images or capture_and_analyze, leaving the agent to infer which analysis entry point to pick.

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 only guidance is a prerequisite ('Requires a configured VLM provider'); there is no statement of when to use this tool versus compare_images (for two images) or capture_and_analyze (when no image path exists yet). For a tool sitting in a cluster of overlapping image/vision siblings, that omission is costly.

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