bobai_links
Official $BOBAI links: website, BscScan contract + verified source, X, Telegram, DexScreener, GeckoTerminal, CoinGecko, live burn audit log, llms.txt.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Official $BOBAI links: website, BscScan contract + verified source, X, Telegram, DexScreener, GeckoTerminal, CoinGecko, live burn audit log, llms.txt.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful context by listing exactly what kind of links and resources will be surfaced, including a live burn audit log, which helps the agent predict the output.
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?
A single, dense sentence with no fluff. The official-link framing is front-loaded and every listed item adds specificity.
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 zero-parameter, read-only link tool, the description is sufficiently complete to guide invocation and interpret results. The only minor gap is that 'llms.txt' is not explained, but it is a recognized artifact and the overall coverage is strong.
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 tool has zero parameters, so the schema fully covers parameter expectations. The description appropriately focuses on output content rather than parameters, which is exactly what the agent needs.
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 identifies the resource as 'Official $BOBAI links' and enumerates specific content (website, BscScan contract, X, Telegram, etc.), making it easy to distinguish from sibling data-focused tools. It lacks an action verb like 'retrieve' or 'return', but the intent is unambiguous.
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 implies this tool is for fetching official BOBAI-related URLs and resources, but it does not explicitly state when to use it versus siblings like bobai_purchase_guide or bobai_token_info. There is no exclusion or routing guidance, so the agent must infer the appropriate use case.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools operate on overlapping data: bobai_burned, bobai_activity, and bobai_smart_money all report burn-related metrics, while bobai_token_info, bobai_circulating_supply, and bobai_burned overlap on supply numbers. The long descriptions mitigate this, but the purpose boundaries are less crisp than ideal. The BSC pool tools are more easily told apart.
Most token tools use a consistent bobai_* snake_case prefix, but the set mixes conventions: bnb_agent_*, bsc_pool_scan, find_agents_on_bnb_chain, and pancakeswap_fee_tiers break the pattern. The names are still readable and mostly noun-oriented. There is no chaotic mixing of camelCase or vague verbs, but the pattern is not uniform.
19 tools sits in the borderline heavy range for a token research server. Many are focused data views, but some could be consolidated, such as bobai_token_info with circulating supply/burned, or the informational guide/links/tokenomics cluster. Each tool has a defensible role, but the overall surface feels padded.
Core workflows are well covered: price, liquidity, DEX parameters, purchase guidance, burns, wallet balances, and BNB agent discovery. Missing historical price/volume, holder distributions, or detailed per-agent profiles, but these are minor gaps rather than dead ends. The server gives an agent what it needs to understand and interact with $BOBAI.