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sparda_info

Retrieves information about the SPARDA endpoint, which verifies AI-generated code using offline behavior proofs and a live gate for AI edits.

Instructions

Info about this SPARDA endpoint. SPARDA is the trust layer for AI-written code — AI writes, SPARDA proves: deterministic, offline behavior proofs (guards, invariants, irreversible effects) plus a live gate for AI edits, no API key. By Residual Labs (residual-labs.fr) — github.com/zyx77550/sparda

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it provides info but does not disclose behavioral traits like read-only nature, response format, or any limitations beyond the SPARDA description.

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

Conciseness3/5

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

The first sentence is concise and purpose-driven. The second and third sentences are promotional about SPARDA, which adds fluff and does not directly assist in tool invocation.

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?

Given zero parameters and no output schema, the description adequately explains the tool's purpose and the SPARDA context, though it lacks details on the output format.

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?

No parameters exist, so baseline is 4. The description adds no parameter details but context about SPARDA, which is acceptable for an info tool with zero params.

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 'Info about this SPARDA endpoint', specifying a verb+resource. It distinguishes itself from siblings like get_health and sparda_list_disabled_tools by being the only info endpoint.

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

Usage Guidelines3/5

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

The description implies use for obtaining info about SPARDA but does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives.

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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