Groq-powered vault compression: 50 cold (least-read) memories → 5 dense summaries. Source memories are archived after compression. Net result: sharper vault, lower LLM token cost when injecting context. Automatically refunded if Groq fails. $0.05. Requires API key.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses key behaviors beyond annotations: source memories are archived (side effect), automatic refund if Groq fails, cost ($0.05), and API key requirement. This adds significant context not covered by the provided annotations. No contradiction with readOnlyHint=false.
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?
Three dense sentences: the first states the core action, the second notes side effects, and the third covers failure/cost/auth. Every sentence adds value with no fluff.
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 parameterless tool with no output schema, the description covers the operation, net benefit, side effects, error handling, cost, and prerequisites. This is comprehensive given the tool's simplicity and lack of structured fields.
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 and schema coverage is trivially 100%. Description adds context by explaining the fixed 50→5 transformation, which helps the agent understand behavior without needing parameter details. Baseline for 0 params is 4, and the description meets this.
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 action: 'vault compression' turning 50 cold memories into 5 dense summaries. It specifies the resource (vault memories) and the scope (cold/least-read), distinguishing it from siblings like vault_query and vault_write.
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?
Provides clear context: it reduces token cost and sharpens the vault, implying use when the vault has accumulated cold memories. However, it does not explicitly mention alternatives or when not to use, stopping short of full exclusion guidance.
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 overlap in purpose: x711_web_search and x711_deep_search both search the web, x711_agent_see and x711_data_retrieval both fetch URL content, and x711_agent_ping and x711_agent_telegram both enable agent messaging. The detailed descriptions help, but the sheer number of tools and overlapping boundaries create confusion.
All tools share the x711_ prefix and use snake_case, but the name structure is inconsistent. Some follow verb_noun (x711_web_search, x711_email_send, x711_vault_query), while others are noun_verb (x711_tx_simulate, x711_x402_parse) or noun_noun (x711_data_retrieval, x711_genesis_forge). Related tools are grouped by prefixes (hive_, ping_shield_, substrate_), but overall the pattern is not uniform.
47 tools is far above the typical well-scoped range. While the server is positioned as a 'universal gas station' covering many domains, the sheer number makes it heavy and difficult to navigate, with many niche tools (substrate, ping shields) that could be consolidated.
Despite the large tool count, there are significant lifecycle gaps. Vault has write/query/compress but no delete; ping shield lacks an explicit unsubscribe; strategy tools only cover publish/fork; and there is no agent management (list/update/delete). Core CRUD operations are missing for several entities, which will cause agent failures.