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

With no annotations, the description carries the full behavioral burden. It usefully discloses the billing model ('paid per call (x402 or API key)'), but leaves it ambiguous whether the quote call itself is charged, whether auth is required for quoting, and how long a quote is valid.

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 tightly written sentences with the purpose front-loaded and no filler. The brevity is appropriate to a quote tool, though it leaves no room for the parameter clarification the low schema coverage requires.

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?

A 5-parameter tool with 0 required params, 20% schema coverage, no annotations, and no output schema. The description does not explain which parameters are needed for chat vs embeddings, nor what the returned price looks like (units, expiry), leaving the agent under-equipped to call it correctly.

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 only 20% across 5 parameters, so the description needs to compensate and does not. It never explains model, messages, max_tokens, or input, and only obliquely hints at the 'type' enum via 'chat or embeddings'.

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?

States a specific verb and resource: it retrieves the exact x402 USDC price for a planned chat or embeddings call. It is clearly distinguishable from fikra_chat (which performs the call) and fikra_list_models, though it never names those siblings explicitly.

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?

'Before paying' implies the usage timing — quote first, then make the paid call — but no explicit when-not conditions or alternatives (e.g., that fikra_chat consumes the quote) are given. Usage must be inferred from the phrase rather than read.

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