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x711_ask_clerk

Read-only

Ask THE CLERK — x711's on-duty AI attendant — any question about the platform. Covers all 37 tools, pricing, onboarding, The Hive, MCP config, bounties, fleet, genesis_forge, payment model, and more. Free, no API key needed. Use this to orient yourself before calling other tools — the clerk gives exact curl commands and next steps. Returns: { answer: string, latency_ms }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesYour question about x711. Examples: 'how do I use hive_write?', 'what tools are free?', 'how do I install via MCP?', 'what is genesis_forge?', 'how do I check my balance?'

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark readOnlyHint=true, and the description adds valuable context: it is free, requires no API key, returns an answer object with latency_ms, and provides concrete next steps. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with the tool's identity, and every sentence adds value: purpose, scope, usage guidance, and return format. No redundancy or fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter tool with no output schema, the description is remarkably complete. It covers what the tool does, when to use it, what topics it handles, and what the response looks like. The readOnly annotation further confirms safety.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema_description_coverage at 100% and only one parameter, the baseline is 3. The description enriches the question parameter by listing the breadth of covered topics (tools, pricing, onboarding, MCP config, bounties, etc.) and implies the expected response style, helping the agent craft appropriate questions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: asking any platform question to THE CLERK. It explicitly differentiates from sibling tools by positioning itself as a general orientation assistant that covers all 37 tools and gives exact curl commands.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives explicit guidance: 'Use this to orient yourself before calling other tools.' It also notes it is free and requires no API key, making the usage context clear. It does not name exclusions or alternative tools explicitly, but the general-purpose nature is well explained.

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

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TDQS

A3.9/5.0
Disambiguation3/5

Many tools have overlapping purposes, such as multiple search tools (web_search, deep_search, data_retrieval) and multiple communication tools (agent_ping, agent_telegram, swarm_broadcast). The descriptions help differentiate, but the boundaries are not always clear.

Naming Consistency4/5

All tools consistently use the 'x711_' prefix and lowercase_with_underscores format. Submodules like agent, hive, and tx follow predictable patterns. Minor deviations (e.g., x711_ask_clerk) are rare and still descriptive.

Tool Count2/5

With 47 tools, the server is excessively large for a typical MCP service. While it aims to be a comprehensive platform, the high count makes navigation and selection cumbersome for an agent.

Completeness4/5

The tool set covers a wide range of agent needs: web access, memory, communication, on-chain transactions, code execution, and more. Minor gaps exist (e.g., no agent deletion tool), but overall it is remarkably complete for the stated purpose of an agent platform.

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