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

No annotations provided, so description bears full burden. It states output fields but does not disclose behavioral traits like side effects (likely read-only), authentication needs (api_key required in practice but optional in schema), rate limits, or data recency. Minimal behavioral context beyond output format.

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?

Extremely concise single sentence with price. No wasted words. However, under-specification reduces utility. For a simple tool, this brevity is acceptable but could be improved by adding actionable details.

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?

Output fields are listed (name, symbol, market cap, age, volume), which helps agents understand return value. But no output schema exists, and description lacks information on data format (e.g., array), pagination, or how limit parameter affects results. Adequate for simple list retrieval but incomplete for advanced usage.

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?

Input schema coverage is 50% (api_key described, limit not). The tool description adds no parameter information beyond what is in the schema. For example, 'limit' lacks explanation of its effect (e.g., maximum number of tokens returned). The description does not compensate for the missing schema documentation.

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 returns 'Latest tokens created on Pump.fun' with specific fields (name, symbol, market cap, age, volume). It distinguishes from siblings like get_trending or get_meme_trending by specifying 'latest' rather than trending. However, it does not explicitly differentiate from get_meme_scan or get_search.

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?

No explicit guidance on when to use this tool vs alternatives. The description implies use for latest Pump.fun tokens, but does not exclude other scenarios or provide context on when not to use it. Among many sibling token tools, an agent lacks clear selection criteria.

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