acedatacloud_list_model_catalog

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

With no annotations, the description discloses that no token is required (auth-free read) and states the return includes modality counts and models. This is helpful behavioral context, though pagination or limits are not mentioned.

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 purpose, no redundant information. Every sentence adds value.

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?

Given output schema exists, simple tool with 2 optional parameters, the description covers purpose, output, and auth. Missing pagination details but still adequate for a list endpoint.

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 100%, and the schema already describes both parameters. The description adds 'per-model credit pricing' hinting at output but does not enhance parameter understanding beyond the schema.

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 the tool lists the model catalog with provider, modality, and per-model credit pricing. It distinguishes from siblings like acedatacloud_list_models by noting it returns modality counts plus matching models.

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?

Description mentions 'No token required,' which is useful authentication guidance, but does not specify when to use this tool versus similar tools like acedatacloud_list_models. Lacks explicit when-to-use or alternatives.

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