Hedwig

Server Quality Checklist

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Latest release: v0.1.0
Disambiguation5/5
Each tool targets a distinct operation: balance checking, two asset transfers, payment signing, spending analysis, gated fetch, and funding request. No two tools have overlapping purposes; x402_fetch uses pay internally but is clearly for HTTP retrieval.
Naming Consistency3/5
Mostly verb_noun (check_balance, transfer_hbar, transfer_usdc, request_funding), but 'pay' is a bare verb, 'spending_report' is a noun phrase, and 'x402_fetch' puts the object first. This mixed style reduces predictability.
Tool Count5/5
Seven tools is well-scoped for a payment and x402 server—enough to cover core operations without bloat.
Completeness4/5
Covers balances, transfers for both HBAR and USDC, x402 payment authorization and retrieval, spending reports, and funding. Missing a budget management tool (only reports caps, doesn't set them) but core workflows are complete.
Average 4/5 across 7 of 7 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 11 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden for behavioral disclosure. It clearly states the tool signs an authorization and returns a header value, which is valuable. However, it does not disclose whether the signing has side effects (e.g., funds movement), any permission requirements, or failure modes. The description adds some context but is not comprehensive.
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 long, front-loaded with the purpose, and contains no fluff. Every word adds value, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is moderately complex with 4 parameters and no output schema. The description explains the return value ('header value') but lacks broader context such as prerequisite steps (e.g., obtaining a 402 challenge), how this fits into the x402 flow, or example usage. It is adequate but has gaps.
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?
All four parameters are described in the input schema (100% coverage), so the schema fully documents them. The description does not add any extra parameter semantics beyond what the schema already provides, making the baseline score of 3 appropriate.
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 the tool signs an x402 payment authorization for a USDC transfer on Hedera, which is a specific verb ('sign'), resource ('x402 payment authorization'), and scope ('USDC transfer on Hedera'). This distinguishes it from sibling tools like transfer_usdc (actual transfer) and x402_fetch (likely fetching challenges).
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 usage context by mentioning the returned header should be attached when retrying the paid request, but it does not explicitly state when to use this tool versus alternatives like transfer_usdc or x402_fetch. No exclusions or alternatives are provided, leaving the when-to-use decision to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that the source is the configured account and clarifies the unit (HBAR vs tinybars), but it does not mention fees, reversibility, or failure modes.
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?
Two short sentences with no redundant content. The description is front-loaded and directly provides the essential information without wasting words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple 3-parameter tool, the core function is covered, but the description omits response/return information and potential errors. With no output schema, this leaves some informational gaps.
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 description coverage is 100%, and each parameter is well-documented (e.g., amount as decimal string). The description repeats the unit clarification but adds no new parameter-level semantics, so it stays at the baseline of 3.
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 'Send HBAR from the configured account to another Hedera account', specifying the action, asset, and source. This distinguishes it from sibling tools like transfer_usdc by explicitly naming HBAR.
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 HBAR transfers but does not explicitly contrast with alternatives like transfer_usdc or pay. There is no when-to-use or when-not-to-use guidance, leaving the context somewhat implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full disclosure burden. It adds valuable context about the 'configured account' and the token association requirement, but does not describe what happens on failure, whether the operation is irreversible, or what the tool returns. Basic behavior is covered, but not deeply.
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, front-loaded with the core purpose. Every word earns its place, with no redundant or extraneous information.
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?
For a simple transfer tool with 3 fully documented parameters and no output schema, the description captures the essential purpose and prerequisite. It lacks details about return values or error conditions, but given the tool's low complexity, this is an acceptable gap.
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 description coverage is 100%, so the baseline is 3. The description adds no additional parameter meaning beyond the schema. The schema already explains amount as a decimal string, recipient as an account ID, and memo as optional.
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 the action (send), the resource (USDC HTS token), and the destination (another Hedera account). It distinguishes from sibling tools like transfer_hbar and check_balance by specifying the token type and the 'configured account' sender.
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 gives clear context for when to use the tool (for USDC transfers) and states an important prerequisite (both accounts must be associated). It does not explicitly mention alternatives, but sibling names like transfer_hbar imply the distinction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It clarifies that the tool returns information (an address and a link) rather than directly transferring funds, which is useful. However, it does not explicitly state that the tool has no side effects or whether it requires special permissions, leaving some ambiguity for a tool with such an action-oriented name.
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, concise sentence that front-loads the main action ('Return') and includes all necessary information without waste. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no parameters, no output schema, and no annotations, this description is complete. It conveys the return value and the critical testnet-only constraint, which is sufficient for an agent to select and invoke the tool correctly.
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?
The tool has zero parameters, and the schema is empty. The description does not need to explain parameters, and the baseline for 0-param tools is 4. It adds no parameter-specific information, which is appropriate given the absence of parameters.
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 the tool returns a fundable receiving address for the configured Hedera account and a testnet faucet link. This specific verb+resource distinguishes it from siblings like check_balance and transfer_hbar, making its purpose unambiguous.
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 usage for obtaining testnet funds via a faucet link but does not explicitly say when to use this tool versus alternatives. The 'testnet only' note provides some context, but there is no direct comparison to sibling tools or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden. It discloses the conditional payment flow (signing a Hedera USDC payment on 402 and retrying) plus diagnostic info, but leaves the diagnostic structure unspecified.
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?
Two sentences with front-loaded purpose and a clear step sequence. No filler words and the payment retry logic is summarized efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate for a fetch tool, but with no output schema and only vague mention of diagnostic info, the return value shape is unclear. The payment flow adds complexity that could use more detail on failure cases.
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 covers all four parameters (url, body, method, headers) with descriptions, so the description adds little beyond the x402 context. Baseline of 3 is appropriate.
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?
Clearly states a specific verb ('Fetch') and resource ('a URL that may be x402-gated'). It is distinct from sibling tools which handle balances, transfers, and payments, leaving no ambiguity about its role.
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?
Provides clear context for when to use (fetching URLs that may require x402 payment). However, it doesn't explicitly state when not to use it or name alternatives, though the sibling list implies the domain.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the transparency burden. It clearly indicates read-only behavior via 'Return' and 'Reads', and adds reliability context by mentioning the Hedera Mirror Node REST API. It does not list side effects, but none are expected for a balance query.
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 concise sentences that immediately state the output and the data source. Every word adds value, with no redundancy or unnecessary details.
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?
For a zero-parameter read tool, the description covers what is returned (balances and link) and how it is fetched (Mirror Node API). It lacks a detailed output structure, but given the low complexity, this is sufficient for an agent to invoke the tool correctly.
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?
The tool has zero parameters, so there are no ambiguities. The description confirms the account is pre-configured ('the configured Hedera account'), effectively eliminating any need for parameter explanation. A baseline of 4 is appropriate.
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 the tool returns HBAR and USDC balances for the configured Hedera account plus a HashScan link. It uses a specific verb ('Return') and identifies the resources, distinguishing it from sibling tools like transfer_hbar and transfer_usdc which are clearly write operations.
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 usage as a read-only balance check, but does not explicitly state when to use it versus alternatives or provide exclusion criteria. Sibling names suggest transfers, so the use case is inferable but not directly guided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears the behavioral burden. It only states 'Return,' implying a read-only operation, but it does not disclose what 'current session' means, whether data is live, or if there are any side effects. Some transparency but not rich detail.
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?
A single, front-loaded sentence that efficiently conveys the tool's purpose without redundancy. Every word contributes to the description.
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?
For a no-parameter read operation, the description covers the key outputs (summary, budget caps, history) but does not specify output structure or clarify session semantics. Since no output schema exists, a little more detail could be added, but it is reasonably complete.
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?
The tool has zero parameters, so the schema (empty object) is fully covered. With no parameters, the description has nothing to add; baseline 4 applies per the rubric.
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 a specific verb ('Return') and a specific resource (current session's USDC spending summary, budget caps, history), making the tool's purpose unambiguous and distinct from siblings like check_balance or transfer tools.
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 implies use when a session spending summary or history is needed, but it does not explicitly mention when not to use it or reference alternative tools. The context is clear, but exclusions are absent.
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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