list_services

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It states the operation (listing) and what is returned (service names, descriptions, input/output specs). It does not explicitly state there are no side effects or permissions required, but the read-only nature is strongly implied by 'list.' This is adequate for a simple discovery tool.

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, no fluff, and the primary action is front-loaded. The return-value detail is useful and placed second. 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?

For a simple list tool with one optional parameter and no output schema, the description explains what it does and what the response contains. It could mention that the category parameter filters results or that the tool is useful before calling infer, but these are somewhat inferable. The definition is effectively complete for its simplicity.

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 schema has 100% description coverage for the only parameter, category, including examples. The tool description adds no additional meaning beyond the schema, so the baseline score of 3 applies.

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 uses a specific verb and resource: 'List all available AI models and services on Theta EdgeCloud.' It also states the return payload (service names, descriptions, input/output specifications). This clearly distinguishes it from siblings like infer, get_request_status, and get_upload_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 implies this is a discovery tool for enumerating available services, but it does not explicitly state when to use it versus alternatives or mention relationships with sibling tools. Usage context is clear enough from the name and description, but no direct exclusions or alternative conditions are given.

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