agent_batch_convert

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

With no annotations, the description carries the burden of behavioral disclosure. It adds useful context: 'URLs are processed sequentially' (processing order) and 'Requires: Chrome running + Web2MD extension + native host installed' (prerequisites). This goes beyond a bare statement of purpose. However, it does not disclose failure behavior, return values, or potential side effects, which prevents a perfect score.

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 concise and well-structured, consisting of three short sentences that deliver essential information without redundancy. It front-loads the main purpose, then adds context (ideal use cases) and prerequisites. Every sentence earns its place.

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 a single parameter with high schema coverage and no output schema, so the description should ideally explain what the tool returns or results in. It does not mention return format or error handling. Given the moderate complexity, some key context is missing, making it adequate but not fully complete.

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 already provides a clear description for the sole parameter 'urls' ('Array of URLs to convert (max 50)'), giving 100% schema description coverage. The description adds only an example of suitable URLs ('many Reddit threads or JS-rendered pages') and notes sequential processing, but these do not significantly enhance parameter understanding. Baseline 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 clearly states the tool's function: 'Batch convert multiple URLs using the Chrome extension via native messaging.' It specifies the verb 'convert', the resource (multiple URLs), and the method (Chrome extension/native messaging). It distinguishes from sibling tools by emphasizing 'batch' and 'multiple', making it stand out from single-URL converters like convert_url.

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 description provides clear usage context: 'Ideal for converting many Reddit threads or JS-rendered pages.' This implies when to use the tool (large numbers of URLs or JS-heavy content). It also lists prerequisites ('Chrome running + Web2MD extension + native host installed'), which guide the user on necessary conditions. However, it does not explicitly mention alternatives or cases where this tool should be avoided, so it falls short of a 5.

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