glm_5v_diff_ui_layout

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

No annotations are provided, so the description carries full responsibility. It indicates the tool uses a vision model to audit an image, suggesting a read-only analysis. However, it does not disclose potential side effects, authorization needs, or rate limits, leaving gaps in behavioral understanding.

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 sentence, which is concise but lacks structural elements like bullet points for parameters. It could be more informative without adding length, given the tool has five parameters and no annotations or output schema.

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?

With five parameters, no output schema, and no annotations, the description is insufficiently complete. It does not explain return values, the meaning of 'audit', or how the vision model processes the image, leaving significant gaps for effective 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 description does not mention any of the five parameters. With 0% schema description coverage, the description fails to add meaning beyond the schema, such as explaining 'severityThreshold' or 'outputFormat'. This makes it hard for an agent to invoke the tool correctly.

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 action 'audit' and the resource types (local PNG, JPEG, etc.) against an objective using a vision model. It is specific and distinguishes this tool from siblings, which are not about image auditing. However, it does not clarify what 'audit' entails (e.g., generating a report).

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 explicit guidance on when to use this tool versus alternatives. The description implies it is for auditing visual designs, but it does not mention when not to use it or compare with sibling tools like query_reasoning or consult_knowledge.

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