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

With no annotations, the description carries the transparency burden. It discloses that the data is real-time and that the tool is free, which adds some behavioral context. However, it does not mention potential rate limits, response format, or any limitations. For a read-only tool, this is adequate but not rich.

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 two short sentences, front-loaded with the core purpose and followed by the free note. Every word earns its place, with no redundancy or filler. Excellent conciseness.

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?

For a simple two-parameter read tool with no output schema, the description and schema together provide sufficient context. It lacks a detailed return structure, but the general 'price and market data' gives a reasonable expectation. The absence of output schema is partly compensated by the clear scope, making it almost complete.

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 100%, so the baseline is 3. The description does not add any parameter-specific meaning beyond what the schema already provides. It mentions 'token price and market data' but does not elaborate on parameters, so no additional value is given.

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 specifies a specific verb ('Get') and resource ('real-time token price and market data from DexScreener'). It distinguishes itself from sibling tools like coinbase_price by naming the data source, making it easy for an agent to select this tool for DexScreener data.

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 does not explicitly state when to use this tool vs alternatives, but the phrase 'from DexScreener' implies its context. There are no exclusions or alternative recommendations, leaving the agent to infer usage from the name and description. This meets the 'implied usage' level.

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