ai.summarize

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

The description mentions it is 'backed by an upstream LLM' and lists return fields, but it does not disclose potential delays, token limits, or whether the webpage is fetched asynchronously. With no annotations, more detail would improve transparency.

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 sentences, front-loaded with the main action, followed by a clear bullet list of outputs. No extraneous text.

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 description is sufficient for a simple tool but lacks details on supported webpage types, language support, error handling, or any limitations. Given no output schema, more completeness would be beneficial.

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 coverage is 50% (only 'instruction' has a schema description). The description does not elaborate on parameters beyond implying 'url' is a webpage. The 'instruction' parameter is mentioned in schema but not in the description, missing an opportunity to clarify usage.

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?

Description clearly states it summarizes a webpage and lists output components. However, it does not differentiate from similar AI tools like 'ai.extract' or 'ai.describe-image', which could lead to ambiguity.

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 simply states it summarizes a webpage, leaving the agent to infer appropriate use without context.

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