API-Market MCP Server

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

No annotations are provided, so the description carries the full burden. It mentions generating a GIF and a follow-up call to retrieve the URL, but fails to disclose critical behavioral traits: whether this is a read/write operation, potential rate limits, authentication needs, error handling, or what the 'result id' entails. The description adds some context but leaves significant gaps for a tool with no annotation coverage.

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 brief with two sentences, but it's not optimally structured. The first sentence states the purpose, while the second adds usage context, but it could be more front-loaded with key details. It avoids redundancy but under-specifies critical information, making it less efficient than it could be.

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 the complexity (AI model tool with 2 parameters), no annotations, 0% schema coverage, and no output schema, the description is incomplete. It mentions the tool's purpose and a follow-up step but lacks details on parameters, behavioral traits, error handling, and output expectations. For a tool with no structured data support, this leaves too many gaps for effective use.

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 description coverage is 0%, meaning parameters 'image' and 'target_age' are undocumented in the schema. The description provides no information about these parameters—no meaning, format, or usage examples. It doesn't compensate for the lack of schema documentation, leaving parameters entirely unexplained.

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 purpose: 'generating ageing gif using AI models'. It specifies the verb ('generating') and resource ('ageing gif'), though it doesn't explicitly differentiate from sibling tools like 'Get_ageing_gif_URL' beyond mentioning the relationship. The purpose is specific but could be more distinct from its sibling.

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 minimal usage guidance: it mentions calling 'get ageing gif URL' with a result id from this API, implying a two-step process. However, it lacks explicit when-to-use instructions, alternatives, or context for choosing this tool over others, such as 'Get_ageing_gif_URL' or 'Hair_style_simulator'. No exclusions or prerequisites are stated.

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