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

With no annotations, the description carries the full burden. 'Check current public GitHub evidence' communicates a read-only verification behavior and the data source, which is useful. It does not disclose potential rate limits, authentication needs, or failure behavior, but the operation appears inherently non-destructive.

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

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

The description is a single, front-loaded sentence with no filler. It efficiently communicates the tool's purpose and timing without unnecessary detail.

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

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

This is a simple one-parameter tool with an output schema, so the return format does not need to be in the description. The description covers what the tool does and when to use it. The main gap is the lack of parameter semantics and explicit sibling differentiation, but the low complexity keeps this from being a serious deficiency.

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

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 reference the required issue_url parameter at all. While the parameter name is suggestive, no format, example, or clarification is given about what URL should be supplied, especially since the description mentions both 'bounty or issue' but the parameter is only issue_url.

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

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

The description uses a specific verb ('Check') and identifies the resource ('current public GitHub evidence for a bounty or issue') along with the intended timing ('before contributing'). It is clearly distinct from sibling tools like repo_contribution_readiness and payment_preflight, though it does not explicitly name them.

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

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

The phrase 'before contributing' gives an explicit usage context, signaling when this tool is relevant. However, it does not mention when not to use it or how it compares to the sibling tools, so it stops short of full alternative guidance.

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

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

With no annotations provided, the description carries the behavioral burden. It does disclose a meaningful conditional behavior: without paid access it returns a hosted HTTP 402 order payload. Still, it does not clarify whether the tool has side effects, how successful access behaves, or any authorization requirements beyond the vague 'paid access'.

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

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

Two short sentences with no filler. The main purpose is front-loaded, and the conditional behavior is stated efficiently. Every clause earns its place.

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

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

The tool has five parameters, no annotations, and no schema-level descriptions, so the description must compensate, but it covers only one behavioral outcome. It omits how the parameters interact, what a successful preflight returns, and when optional fields like amount or token_contract should be supplied.

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

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 explain any of the five parameters (chain, address, amount, access_token, token_contract). The parameter names are somewhat self-explanatory, but the tool description provides no additional meaning or usage context for any of them.

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

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

The description uses a specific verb ('Run') and resource ('technical payment preflight') and adds a concrete behavioral detail about returning the hosted HTTP 402 order payload. It is clearly distinct from the sibling tools, although it does not explicitly contrast itself with them and 'technical payment preflight' remains somewhat jargon-heavy.

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

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

The phrase 'Run technical payment preflight' implies this is the tool to use when a payment preflight is needed, and the 'Without paid access...' clause gives conditional context. However, it does not explicitly state when to use this tool versus alternatives, nor does it describe preconditions or exclusions.

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

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

With no annotations provided, the description bears the full burden of disclosing behavioral traits. It does mention one specific behavior: 'Without paid access this returns the hosted HTTP 402 order payload,' which is useful. However, it does not disclose whether the tool is read-only, whether it makes network calls, how access_token affects behavior, or any side effects. This is minimal disclosure for a tool that likely interacts with external systems.

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

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

The description consists of two concise sentences. The first front-loads the core purpose, and the second adds a critical behavioral detail about the 402 fallback. There is no extraneous content, and both sentences earn their place. It is appropriately sized and well-structured.

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

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

Given the tool has three parameters, no annotations, and only a brief mention of the 402 fallback, the description is incomplete. It does not explain what each parameter is for, how to use the access_token, when the paid access applies, or any prerequisites for successful invocation. While an output schema exists, the description still fails to provide enough context for an agent to select and call the tool correctly.

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

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 by explaining the meaning and usage of parameters like repo_url, change_type, and access_token. It does not mention any of them. The description only states the overall purpose and a payment fallback behavior, leaving agents to infer parameter semantics purely from their names, which is insufficient.

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

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

The description opens with 'Assess repository contribution readiness,' which is a specific verb and resource, clearly indicating the tool's function. It does not explicitly contrast it with sibling tools like bounty_reality_check or payment_preflight, but the phrase 'without paid access' hints at a payment-related context that loosely differentiates it. Overall, the purpose is clear, though not fully distinguished from alternatives.

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

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 the sibling tools 'bounty_reality_check' or 'payment_preflight.' There is no mention of conditions, exclusions, or alternatives. The only contextual clue is the 402 payment reference, but that does not help an agent decide between this and related tools.

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