list-ai-services

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

No annotations are provided, so the description carries the full transparency burden. It discloses that the tool returns 'scope and status' for each service, but it does not explicitly state whether the operation is read-only or has side effects. For a list operation, the verb implies non-destructive behavior, but additional context like authentication or rate limits is absent.

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, focused sentence that immediately states the action and object, followed by examples and return attributes. It contains no filler words and is well-structured.

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 provides essential information: what is listed (AI services), examples, and the included attributes (scope and status). Since there is no output schema, this is adequate for a simple list operation, though it could mention the exact output format or whether pagination applies.

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 tool has zero parameters, so the baseline is 4. The description adds no parameter semantics, which is appropriate since there are no parameters to document.

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 'List' and identifies a distinct resource ('all syntx.ai AI services') with concrete examples (ChatGPT, Midjourney, Sora). This clearly differentiates it from sibling tools like 'list-models' or 'list-chats', making its purpose unambiguous.

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 clearly scopes when to use the tool (when an inventory of AI services is needed) but does not explicitly contrast it with alternative list tools. The clear scope provides enough context for an agent to select it, but lacks explicit exclusions or alternative recommendations.

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