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justhandled_agent_distribution_readiness_pack

Audit agents, skills, MCP servers, or paid APIs for release readiness: check consistency, discovery surfaces, evidence freshness, claims support, and channel-specific launch constraints.

Instructions

Audit an agent, skill, MCP server, or paid API for release consistency, required discovery surfaces, evidence freshness, supported claims, and channel-specific launch constraints. Costs $0.25 USDC on Base mainnet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimsYes
productYes
surfacesYes
observed_atYes
launch_evidenceNo
target_channelsYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose a key side effect: 'Costs $0.25 USDC on Base mainnet.' However, it does not mention whether the audit changes any state, what output to expect, or any other side effects, leaving significant behavioral gaps.

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 two sentences with no filler. The first sentence front-loads the verb ('Audit') and resource scope, followed by a concise list of audit areas. The second sentence adds only the essential cost constraint. Every word earns its place.

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

Completeness2/5

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

Given the tool's complexity (6 parameters, nested objects, no output schema), the description is not sufficiently complete. It provides a high-level purpose and cost but omits parameter details, output format, and expected behavior, making it insufficient for an agent to confidently invoke the tool without further guidance.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. The audit dimensions ('required discovery surfaces', 'supported claims', 'channel-specific launch constraints') map loosely to the surfaces, claims, and target_channels parameters, but the description does not explain the structure or required fields of the nested objects, leaving the agent to infer parameter semantics from names alone.

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

Purpose4/5

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

The description clearly identifies the tool as an audit of agents, skills, MCP servers, or paid APIs, specifying the audit dimensions (release consistency, discovery surfaces, evidence freshness, claims, and channel constraints). This is a specific verb+resource description, but it does not explicitly differentiate from sibling tools like justhandled_channel_fit_evidence_matrix or justhandled_agent_run_evidence_pack.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives, nor does it state prerequisites or exclusions. It only describes what the tool does and mentions a cost, but no when-to-use or when-not-to-use context.

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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