Bildoptimierung analysieren

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only mentions the analysis purpose. It does not state whether the tool is read-only, what kind of output to expect, or whether any side effects occur. This lack of transparency could mislead an agent into assuming it modifies images or returns a specific format.

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 with no redundant words. It is front-loaded with the verb 'Analysiert' and immediately communicates the tool's purpose. No structural improvements are needed for such a simple tool.

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 tool has no output schema and only one parameter, but the description fails to mention what the analysis returns or how to interpret 'Optimierungspotential'. Without output schema or behavioral notes, an agent cannot anticipate the tool's response or what constitutes an optimization suggestion, making the description incomplete for practical use.

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 fully describes the only parameter 'limit' with a clear description (Anzahl der zu analysierenden Bilder), giving 100% schema coverage. The tool description adds no extra meaning beyond the schema, so the baseline score of 3 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 'Analysiert Bilder auf Optimierungspotential' clearly states the action (analyzes), the resource (images), and the goal (optimization potential). It distinguishes itself from general image tools like image_get_details by focusing on optimization analysis, but it does not explicitly differentiate itself from similar analysis tools like perf_check_images.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, use cases, or exclusions. The description simply states what the tool does, leaving the agent without context for selecting it among the many image-related tools.

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