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x711 — Universal Agent Gas Station

by io.github.0580iris-lang

x711_code_sandbox

Execute JavaScript or Python code in an isolated sandbox. Use for: data processing, math, CSV parsing, JSON transformation, crypto calculations, algorithm testing. Secure — no filesystem access, no network. Returns: { output: string, runtime_ms: number, language: string }. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesCode to execute. Examples: 'console.log(Math.sqrt(144))' or 'print(sum([1,2,3]))'.
languageNoLanguage to run. Defaults to 'javascript'.

TDQS

A4.4/5.0
Behavior5/5

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

The description reveals critical behavioral traits beyond annotations: 'no filesystem access, no network' discloses sandbox isolation, 'Requires API key' notes authentication, and 'Returns: { output: string, runtime_ms: number, language: string }' specifies the response shape. Annotations are sparse, so this detail carries the transparency burden effectively.

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 a single tightly packed paragraph. Each sentence adds value: purpose, use cases, security, return format, and auth requirement. No filler or redundancy.

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

Completeness4/5

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

The description covers purpose, use cases, security, return format, and auth. It lacks explicit mention of timeouts, errors, or resource limits, which would be useful for a code execution tool, but overall it's complete enough for an agent to invoke correctly.

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

Parameters3/5

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

Schema coverage is 100%, and both parameters are documented with descriptions. The tool description adds no extra parameter semantics beyond naming JavaScript/Python, which already appears in the schema enum. Baseline 3 is appropriate as schema does the heavy lifting.

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 opens with a specific verb+resource: 'Execute JavaScript or Python code in an isolated sandbox.' It clearly distinguishes the tool from siblings (no other code execution tool) and lists concrete use cases like data processing and crypto calculations.

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?

The description provides clear usage context with 'Use for: data processing, math, CSV parsing, JSON transformation, crypto calculations, algorithm testing.' It does not explicitly mention when not to use or name alternatives, but the use-case list is sufficient for most selection scenarios.

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

All x711 — Universal Agent Gas Station toolsInspect
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TDQS

B3.4/5.0
Disambiguation2/5

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.

Naming Consistency3/5

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.

Tool Count2/5

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.

Completeness2/5

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.

Resources