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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the return format ('Markdown string') and basic parameter info, but fails to disclose critical traits like rate limits, authentication needs, error handling, or whether it's a read-only operation. This leaves significant gaps in understanding the tool's behavior.

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 well-structured and front-loaded with the core purpose, followed by parameter and return details. It uses bullet-like formatting for clarity without unnecessary verbosity. However, the lack of usage context slightly reduces efficiency, as every sentence doesn't fully earn its place in guiding the agent.

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 tool's low complexity (2 parameters, no annotations, but has an output schema), the description is minimally adequate. It covers the purpose, parameters, and returns, but the output schema existence means it needn't explain return values in detail. However, gaps in behavioral transparency and usage guidelines prevent a higher score.

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 description coverage is 0%, so the description must compensate. It adds meaningful semantics: 'count' is explained as 'Number of announcements to fetch (max 20)' and 'page' as 'Page number to fetch (default 1).' This clarifies usage beyond the bare schema, though it could detail format constraints or examples for full compensation.

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: 'fetch the latest Binance announcements in Markdown format.' It specifies the verb ('fetch'), resource ('Binance announcements'), and format ('Markdown'), making the action concrete. However, without sibling tools, it cannot demonstrate differentiation from alternatives, which prevents a perfect score.

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 no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It only lists parameters and returns, offering no usage context. This lack of guidance limits its effectiveness for an AI agent in decision-making scenarios.

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