Server Quality Checklist

Tool Scores

• toreador_list_historyA
  4/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the full burden. It discloses that the tool lists history for the authenticated account and returns specific fields, but does not mention side effects, permission requirements, rate limits, or error conditions. Adequate but 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?

  Two sentences front-load the purpose and limit, then specify returned fields. No wasted words, every sentence serves a clear function.

  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?

  No output schema exists, but the description details the returned list structure (token, chain, amount, recipient, timestamp). It also mentions limit (50 recency) and authentication scope. However, it could be more complete by statically declaring the tool as read-only or explaining ordering.

  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 input schema has zero parameters, so schema coverage is 100%. The description does not need to add parameter information. Baseline for 0 parameters is 4, and the description meets this without adding unnecessary detail.

  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 lists the 50 most recent QR code generations for the authenticated account, specifying the returned fields (token, chain, amount, recipient, timestamp). This distinguishes it from sibling tools like toreador_create_session, toreador_generate_qr, toreador_get_payment_status, and toreador_list_sessions.

  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 viewing history but provides no explicit when-to-use or when-not-to-use guidance compared to alternatives. While the context from sibling names helps, the description itself lacks direct comparisons or exclusions.

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

• toreador_get_payment_statusA
  4.1/5.0
  Behavior4/5

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

  No annotations exist, so description bears full burden; it discloses status values and return fields, sufficient for a simple read tool.

  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 concise sentences, first is front-loaded with purpose, no wasted words.

  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 simple read tool with full schema coverage, the description explains return values and statuses, adequate without output schema.

  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 coverage is 100%, baseline 3; description adds minimal context about sessionId origin beyond schema.

  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 the tool retrieves payment session status by ID, lists status values and included information, distinguishing it from siblings.

  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?

  Implicitly indicates use when a sessionId is available but lacks explicit guidance on when to use versus siblings or when not to.

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

• toreador_list_sessionsA
  4.3/5.0
  Behavior4/5

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

  With no annotations, the description carries the burden. It explicitly states 'list' (implying read-only) and lists included data fields (status, tx hash, confirmations, timestamps). It does not disclose rate limits or further behavioral traits, but for a simple read operation, this is sufficient.

  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, clear sentence with no extraneous words. Every phrase adds value: '50 most recent', 'ERC-20 payment sessions', 'authenticated account', and the list of included fields.

  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 the simplicity (no parameters, no output schema), the description covers the essentials. However, it does not mention pagination or how to retrieve older sessions, which could be useful context. Overall adequate but not perfect.

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

  Parameters5/5

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

  The input schema has zero parameters (100% coverage trivially). The description adds significant meaning by specifying the count (50 most recent) and included fields, which is valuable context beyond the empty schema.

  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 lists the 50 most recent ERC-20 payment sessions for the authenticated account. It specifies the resource (sessions), verb (list), and scope (50 most recent, authenticated account), distinguishing it from siblings like create_session and generate_qr.

  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 viewing recent sessions but does not explicitly state when to use this tool versus alternatives like list_history. No when-not or alternative tools are mentioned, leaving room for improvement.

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

• toreador_generate_qrA
  4.5/5.0
  Behavior4/5

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

  With no annotations provided, the description carries the burden of behavioral disclosure. It states the tool returns a QR data URI and payment URI, and that it is free, implying no state changes. However, it does not explicitly confirm non-destructiveness or describe side effects, but the context suggests a read-only operation.

  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 concise with two sentences. The first sentence clearly defines the tool's purpose and output, and the second provides additional context (free usage and alternative). No unnecessary information, well front-loaded.

  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?

  Given the tool's moderate complexity, full schema coverage, and no output schema, the description sufficiently covers what the tool does, its inputs, and when to use it. It mentions the output structure (QR data URI and payment URI) and distinguishes sibling tools. No gaps are apparent.

  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?

  The input schema covers all 4 parameters with detailed descriptions (100% coverage). The description does not add significant meaning beyond what the schema already provides, such as the list of tokens and the requirement for decimal string amounts. Thus, baseline score 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?

  The description clearly states the tool generates a crypto QR code for specific native tokens and Solana SPL tokens, and specifies what it returns (QR data URI and payment URI). It distinguishes itself from the sibling tool toreador_create_session by noting that for ERC-20 stablecoins, that other tool should be used.

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

  Usage Guidelines5/5

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

  The description explicitly tells when to use this tool (for native tokens and Solana SPL tokens) and when to use the alternative toreador_create_session (for ERC-20 stablecoins). It also mentions that no API key is needed, providing clear usage context.

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

• toreador_create_sessionA
  4.6/5.0
  Behavior5/5

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

  Discloses key behaviors: returns session ID, security code, and payment page URL; session expires after 15 minutes; requires pro plan. No annotations provided, but description adequately covers the mutation nature and constraints.

  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, front-loaded with the main purpose. No wasted words; each sentence provides useful 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 4-parameter create tool with no output schema, the description covers return values, expiration, and alternative tool. Lacks details on error scenarios or authentication, but is fairly complete for the task.

  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 coverage is 100%, so baseline is 3. Description adds minimal extra meaning beyond the schema: it restates the allowed values for token and chainId but does not elaborate on format or constraints for amount or recipientAddress.

  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 the tool creates a hosted payment session for ERC-20 stablecoins on EVM chains, listing specific tokens and chains. It distinguishes from the sibling toreador_generate_qr.

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

  Usage Guidelines5/5

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

  Explicitly states when to use this tool (for ERC-20 stablecoins on EVM chains) and when not to (for native tokens or Solana SPL, use toreador_generate_qr). Also notes pro plan requirement.

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