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ACN Preflight

bounty_reality_check

Free fresh GitHub bounty reality check. No registration or email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral disclosure burden, but it only states that the tool is free and requires no registration. It does not disclose what data it checks, whether it performs network calls, how freshness is determined, or any rate-limit or reliability implications.

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 description is short and front-loaded with a value proposition, but 'Free fresh' reads as promotional filler. The terseness sacrifices important parameter and usage semantics, so it is under-specified rather than genuinely concise.

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?

Although the tool is simple with a single parameter, the description leaves critical gaps: issue_url format, what a 'reality check' produces, and when this tool should be preferred over siblings. The absence of an output schema makes these omissions more damaging.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not mention issue_url at all. The agent has no information about expected URL format, whether it must be a full GitHub URL, or any validation constraints, making correct invocation largely guesswork.

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

Purpose3/5

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

The description identifies a GitHub bounty 'reality check' as the action/resource, and the input schema's issue_url parameter confirms it relates to evaluating a specific issue. However, 'reality check' is vague about what exactly is assessed, and it does not clearly differentiate the tool from siblings like payment_preflight or repo_contribution_readiness.

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 provides no guidance on when to use this tool versus alternatives, and it mentions no exclusions or prerequisites. The only context added is 'Free fresh' and 'No registration or email,' which are access benefits rather than usage direction.

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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