ZeroStart Paid Service Tools

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

Annotations already cover read-only, idempotent, and non-destructive behavior. The description adds that the check is bounded and static, and discloses the $35 cost, which is valuable context beyond the annotations. No contradiction detected.

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 two sentences, front-loaded with the action and output, and the second sentence conveys cost. Every word earns its place with no redundancy.

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 description covers the core purpose and cost, but lacks details on input format (e.g., how HTML is supplied), the specific scope of 'bounded', and the structure of the remediation guidance. Given the open input schema and no output schema, more detail would improve completeness.

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?

With zero formal parameters, the description at least identifies that HTML must be supplied, giving the agent a key input concept. It does not specify the exact parameter name or structure, but the baseline for 0 params is 4, and the description adds some guidance.

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 clearly states the tool runs a bounded static precheck on HTML for common accessibility problems and returns prioritized remediation guidance. It uses a specific verb and resource, distinguishing it from siblings like brief-audit or site-copy-review.

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 clear context that this is a bounded, static precheck, implying a quick initial assessment. However, it does not explicitly name alternatives or state when not to use the tool, so it stops short of a 5.

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?

Annotations already provide readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds valuable context beyond annotations by specifying the price ($2.50 USDC via x402) and the specific evaluation dimensions, which helps the agent understand expected behavior without contradicting annotations.

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 two sentences, with the main purpose front-loaded and the price statement concise. Every word serves a purpose; there is no redundancy or filler.

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 description covers the tool's purpose and price, but lacks any information about the output format or return value, especially since there is no output schema. It also does not provide guidance on how the input metadata should be structured beyond 'supplied metadata', leaving an agent with partial information for a complete interaction.

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?

With zero named parameters and a generic additionalProperties schema, the baseline is 4 per the rubric. The description adds meaning by indicating that the input object is the metadata to be checked, even though it does not detail the object's structure. This is sufficient given the open schema.

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 clearly states a specific verb ('Check') and the resource (OpenAPI, MCP, A2A, or x402 metadata), along with the aspects evaluated (discoverability, input clarity, payment hints, bounded outputs). This distinguishes it from sibling tools like json-quality or schema-repair by focusing on agent endpoint metadata.

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 implies use by saying 'Check supplied ... metadata', but it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions. No sibling tool is referenced, so the usage context is only inferred.

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?

Annotations already declare read-only, non-destructive, and idempotent behavior. The description adds the price and the four audit criteria, which is useful, but it does not disclose what the output looks like or any other behavioral nuances. No contradiction exists.

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 concise sentences: the first front-loads the core purpose with specific criteria, the second adds pricing. No wasted words or redundant information.

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?

For a simple one-parameter tool, the description covers the main action and cost, but with no output schema it should explain what the audit returns. This is a notable gap, though the tool's simplicity partially mitigates it.

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?

The schema has one parameter (text) with zero description coverage. The description clarifies that 'text' is the short landing-page copy to audit, but it doesn't elaborate on expected format, length constraints beyond 'short', or examples. It's minimal but sufficient for a single obvious parameter.

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 the specific verb 'Audit' and identifies the resource as 'short landing-page copy', listing concrete dimensions (clarity, outcome, call-to-action, readable length). This clearly distinguishes it from broader review tools like site-copy-review.

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 implies usage for short landing-page copy but does not explicitly state when to use it over alternatives or when not to use it. It provides no exclusions or references to sibling tools, so guidance is only implicit.

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?

Annotations already indicate a safe, idempotent read operation. The description adds valuable context beyond annotations, notably the cost of $0.25 USDC via x402 and the bounded nature of the output, which are not disclosed in annotations. This helps the agent understand the tool's non-annotation-related behaviors.

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 concise, consisting of two short sentences. It front-loads the core purpose and then adds the pricing detail, with no redundancy or filler. Every word contributes meaning.

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 description covers the core purpose and cost, but omits important details such as how to supply the two snapshots within the open schema, what 'bounded' means, and the structure of the machine-readable digest. Given the lack of an output schema and an open input schema, the agent has limited guidance for constructing the request and interpreting the result.

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?

The input schema has no defined parameters (0 parameters) and is an open object, so the description partially compensates by mentioning 'two supplied text snapshots'. However, it does not specify exact parameter keys or structure. Since the schema provides zero property-level descriptions, the description adds some meaning but could be more explicit.

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 clearly states the tool's purpose with a specific verb ('Compare') and resource ('two supplied text snapshots'), and specifies the output ('bounded, machine-readable change digest'). This distinguishes it from sibling tools that are audits or reviews. The title 'Content Change Digest' aligns with the description.

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 explicit guidance on when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. It simply states what the tool does, leaving the agent to infer applicability without clear direction.

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?

Annotations already declare readOnly, idempotent, and non-destructive behavior. The description adds valuable context beyond this: it specifies input is a 'bounded CSV sample' and includes the cost of $1.50 USDC via x402. While it doesn't detail output format or input mechanics, it enriches the behavior profile with pricing and scope.

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 sentence that packs the core function plus a pricing note. It is front-loaded with the verb 'Profile' and leaves no wasted words, earning a perfect score for conciseness.

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 no output schema and no detailed input schema, yet the description omits what the result looks like (e.g., report, score, or table) and how the CSV is supplied. While it lists what is checked, an agent is left uncertain about the contract for invocation, so the description is minimally adequate but not fully complete.

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?

With zero parameters, the schema provides no semantic meaning, and the baseline is 4. The description explains what the tool does with the input (profile a CSV sample), effectively conveying the tool's purpose since there are no parameters to document.

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 clearly states the tool's function: 'Profile a bounded CSV sample for missing cells, duplicate rows, inconsistent widths, and column coverage.' This uses a specific verb (profile) and resource (bounded CSV sample) with enumerated quality dimensions, making it distinct from sibling audit tools like json-quality or content-diff.

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 gives clear context that the tool is for profiling a bounded CSV sample, implying it should be used when assessing CSV data quality. However, it does not explicitly state when not to use it or mention alternatives among the sibling tools, such as data-cleanup-plan or structured-data-transform.

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?

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds meaningful context beyond annotations by disclosing the cost ('$0.25 USDC via x402') and output structure ('four-stage checklist'). This informs the agent of a required payment and expected output format, which are not captured in annotations.

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 extremely concise, consisting of two short sentences. It front-loads the core purpose, then adds pricing. Every word contributes value, with no redundancy or filler.

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 description covers the tool's purpose, input, output stage count, and pricing. However, it does not specify the return format or structure of the checklist (e.g., markdown, JSON), and there is no output schema to fill this gap. Given the tool's simplicity, this is a notable but not critical omission.

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 coverage is 0%, so the description must compensate. It mentions 'supplied project topic,' which clarifies that the 'topic' parameter is the subject for checklist generation. However, it does not elaborate on format, constraints, or examples. This is minimal but sufficient for a single free-text parameter.

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 clearly states the tool's function: 'Generate a structured four-stage checklist for a supplied project topic.' It specifies a verb (generate), a resource (checklist), and key attributes (structured, four-stage, project topic). This distinguishes it from sibling tools focused on audits, reviews, and briefs.

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?

No explicit guidance on when to use this tool versus alternatives. The description does not mention any prerequisites, exclusions, or alternative tools. While it implies use when a checklist is needed, it offers no comparison to sibling tools or context for when not to use it.

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?

Annotations already provide a robust safety profile (readOnlyHint=true, destructiveHint=false, idempotentHint=true), so the description does not need to restate these. It adds the price and the fact that it produces a plan, which is consistent with annotations but adds no further behavioral caveats beyond what the annotations already convey.

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, information-packed sentence that clearly states the tool's action and output, followed by a simple price line. Every word earns its place; there is no redundant phrasing or 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?

The tool is relatively simple, but without an output schema or defined parameters, the description must compensate for ambiguity. It specifies the input type (CSV/JSON) and output (a plan), but does not clarify how the data is passed (e.g., as a file, string, or object), nor the structure of the plan. This leaves room for misunderstanding during invocation.

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?

This tool has 0 defined parameters, so the baseline is 4. The input schema is open (additionalProperties: true), and the description does not document expected input properties. However, with no formal parameters, the description is not required to explain parameter semantics, and it does not contradict the schema.

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 clearly states a specific verb ('Inspect'), resource ('supplied CSV or JSON'), and expected outcome ('produce a sequenced cleanup and validation plan'). It distinguishes itself from likely siblings like csv-profile or json-quality by emphasizing the production of a plan for cleanup and validation rather than just analysis.

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 implies a clear use case—when you need a structured cleanup and validation plan for CSV/JSON data—but it does not explicitly mention alternatives or conditions when not to use this tool. Given the large set of sibling tools, some explicit exclusions or comparisons would enhance 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?

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true. The description adds the pricing detail ($25.00 USDC via x402), which is useful behavioral context. However, it does not disclose the output delivery format or any side effects beyond what annotations cover.

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 sentence followed by the price. It is front-loaded with the core purpose and contains no filler. Every word contributes value.

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?

With no output schema and no parameters, the description should explain both the input mechanism and the expected output. It explains the transformation types but omits how notes are supplied, what the returned document looks like, and how the payment flow works. This is inadequate for a tool with no structured schema support.

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?

The schema has zero parameters and additionalProperties=true, while the description mentions 'supplied notes' without explaining how notes are passed to the tool. This creates ambiguity about the expected input structure. The description does not compensate for this gap, so it adds confusion rather than clarity.

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 clearly states the tool transforms supplied notes into specific output types (executive brief, SOP, FAQ, action memo). It uses a specific verb (transform) and resource (notes), and the enumerated output formats distinguish it from sibling tools like structured-data-transform.

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?

Usage context is implied (when you have notes and want a structured document), but the description does not explicitly state when to use this tool over alternatives like structured-data-transform or operations-package. No exclusions or alternative recommendations are provided.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the price ($99.00 USDC via x402) and 'bounded package' but does not disclose further behavioral details like input handling or return format. This meets the baseline for tools with strong annotations.

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 sentence that front-loads the core purpose and includes the price. Every word is purposeful, with no fluff or repetitive content. It is highly efficient.

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?

While the description covers the what and price, it lacks guidance on how materials should be supplied (e.g., format, expected structure) and what the output will look like. Given the open input schema and lack of output schema, this is a notable gap. It is adequate but not fully complete.

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?

The tool has zero parameters, so per the rubric the baseline is 4. The description does not need to explain parameter syntax and correctly refers to 'supplied business materials' as the implicit input. The open schema with additionalProperties is not contradicted.

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 clearly states a specific action: combining conversion-copy, accessibility, and operational-readiness reviews for supplied materials into a single bounded package. This distinguishes it from sibling tools like site-copy-review or accessibility-precheck, which focus on individual review types.

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 implies usage when a combined review of all three aspects is needed, and 'bounded package' suggests a fixed scope. However, it does not explicitly mention alternatives or when not to use this tool. Still, the context is clear enough for an agent to select it appropriately.

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?

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds useful context by listing what the report covers and the price, which is a critical operational detail for an agent considering invocation. No contradiction with annotations.

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 that immediately states the tool's purpose, then efficiently lists the report contents and pricing. No wasted words.

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's low complexity, zero parameters, and strong annotations, the description fully covers the necessary context: what it does, what it reports, and cost. No output schema exists, but the description sufficiently conveys the return focus.

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?

The tool has zero parameters, so the schema is empty and the description cannot add parameter details. The baseline of 4 is appropriate because there are no parameters to clarify.

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 ('Validate') and resource ('JSON'), and enumerates the exact attributes reported: size, shape, nesting, duplicate array values, and maintenance warnings. This clearly distinguishes it from sibling tools, which focus on other audit or review tasks.

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 gives clear context: use when you need to validate JSON and obtain a quality report. It does not explicitly mention alternatives or exclusions, so it stops short of the top score.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, establishing the safety profile. The description adds valuable behavioral context by disclosing the pricing and payment method ($75.00 USDC via x402), which is critical for an agent to set user expectations. It does not contradict annotations.

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 sentence that front-loads the core action ('Convert') and lists all key deliverables, followed by pricing. Every word earns its place; there is no redundancy or filler. It is concise yet comprehensive.

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?

For a tool with no output schema and a generic input schema, the description sufficiently explains the expected input (a business process) and the output deliverables. It also includes the cost, which is essential context. However, it does not specify the input format or how to supply the process, leaving a minor gap in completeness.

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?

The schema defines no parameters (only additionalProperties), so the description serves as the only source of parameter meaning. It names the key input as 'supplied business process,' which provides some semantics, but does not detail the structure or expected fields. Given 0 parameters, baseline is 4, and the description meets that without going beyond.

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 clearly states the tool's function: converting a supplied business process into a specific set of deliverables (SOP, responsibility map, checklist, controls, handoff, KPI package). This verb+resource+deliverables structure is unambiguous and distinguishes it from sibling tools like custom-checklist by covering a comprehensive operations package.

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?

Usage is implied by the description: use when you need to turn a business process into an operational package. However, it does not explicitly state when NOT to use it or mention alternative tools (e.g., custom-checklist for checklist-only needs). There is no guidance on context or prerequisites beyond 'supplied business process.'

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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering safety. The description adds valuable context beyond annotations: the cost ($2.50 USDC via x402) and the output nature (a report). This helps the agent understand the side effects (payment) and result format, which annotations do not convey.

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, well-structured sentence that front-loads the core action, followed by critical pricing information. Every word earns its place, with no redundant or vague filler.

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 open schema and lack of output schema, the description covers the essential context: what the tool does, what input to provide (release notes and checks), what output to expect (a report), and the cost. It does not detail report structure or the exact meaning of 'checks', but for a generative tool this is sufficient for an agent to invoke it 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?

The input schema is an open object with no defined properties, so schema description coverage is vacuously 100%. The description mentions 'release notes and checks' as expected content, giving some direction. However, it lacks specifics on structure, required keys, or formats. This is adequate but not rich, matching the baseline 3 for high schema coverage.

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 clearly states the tool's function: 'Turn supplied release notes and checks into a risk-ranked launch readiness report.' It specifies the action (turn into), the input (release notes and checks), and the output (risk-ranked report). This distinguishes it from siblings like agent-endpoint-readiness by focusing on launch readiness with risk ranking.

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?

Usage context is implied: the tool is appropriate when you have release notes and checks to evaluate. However, it does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions or mention alternative tools. This is minimal viable 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?

Annotations already declare readOnly, non-destructive, idempotent, and closed-world behavior. The description adds value beyond annotations by specifying that it does not execute untrusted code and that it returns a repaired draft, giving relevant security and output context. No contradiction with annotations.

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 concise, with two sentences that front-load the core function and then add a critical safety note and pricing. Every sentence earns its place, and there is no redundant repetition of schema or annotation information.

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?

For a tool with no parameters and strong annotations, the description covers the main functionality and return value ('repaired draft'), plus security and pricing context. It lacks details on error handling or edge cases, but given the simplicity, it is relatively complete. Without an output schema, describing the return as a 'repaired draft' is sufficient.

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?

The tool has zero parameters, so there is no parameter schema to clarify. Per the rubric, a baseline of 4 is appropriate for no parameters. The description does not need to explain parameter semantics, and the 100% schema coverage is trivial in this case.

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 ('Normalize'), identifies the resource ('a supplied JSON Schema'), and states the core outcomes ('identify contradictions, and return a repaired draft'). This clearly distinguishes it from sibling tools like json-quality or structured-data-transform by focusing on schema repair rather than quality checks or data transforms.

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 implies usage for repairing/normalizing JSON Schemas, and the safety note about not executing untrusted code suggests a specific context, but it does not explicitly state when to use it versus alternatives or provide any exclusions. The presence of sibling tools with similar themes (e.g., json-quality) makes the lack of explicit guidance a moderate gap.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds that it returns a revision blueprint and discloses the $15.00 USDC price via x402, giving useful behavioral context about output and cost beyond the annotations.

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: the first packs purpose, criteria, and output, the second states price. No redundant words; information is front-loaded and easy to parse.

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?

For a no-parameter tool with no output schema, the description covers the key facets: what copy is reviewed, what dimensions are assessed, the returned deliverable, and the cost. It could more explicitly say how the copy is provided, but given the schema and scope, it is sufficiently complete.

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?

There are no formal parameters in the input schema, and the baseline for zero parameters is 4. The description doesn't need to explain parameter details, but it also doesn't clarify how 'website copy' is supplied, so it doesn't exceed baseline.

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 starts with a specific verb 'Review', identifies the resource 'website copy', and enumerates criteria (audience clarity, value, trust, objections, structure, calls to action), plus the deliverable 'prioritized revision blueprint'. This clearly distinguishes it from sibling tools like content-diff or brief-audit.

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 'Review supplied website copy' gives clear context for when the tool applies, and the criteria list narrows its scope. However, it does not explicitly mention alternatives or when not to use it, so it falls short of a 5.

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?

Annotations already declare read-only, closed-world, idempotent, and non-destructive behavior. The description adds the key constraint 'without inventing external research,' which clarifies the closed-world nature and sets expectations for the agent. It also lists specific output components, providing behavioral context beyond the annotations.

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 two sentences: the first conveys the primary function with a clear action and deliverables, and the second discloses pricing. There is no redundant or irrelevant content, and the main action is front-loaded.

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?

No output schema exists, so the description must convey both input and output expectations. It specifies the input type (research notes and source excerpts) and enumerates output elements, making the tool's role clear. It does not mention output format or limitations on input size, but for a parameterless tool this is sufficient.

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?

The tool has zero parameters, so the schema provides no parameter names or descriptions. The description does not need to explain individual parameters, but it does clarify that the tool consumes 'supplied research notes and source excerpts,' which is useful contextual information. Baseline for zero-parameter tools is 4.

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 ('Turn') and identifies the resource ('supplied research notes and source excerpts') with a clear list of outputs (themes, supported claims, evidence gaps, questions, executive brief). It distinguishes itself from sibling tools like brief-audit by focusing on creation rather than auditing.

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 implies the tool is for synthesizing user-provided research materials into a structured brief, but it does not explicitly state when to use it versus alternatives or mention any exclusions. No sibling tool is referenced as an alternative, so usage context is clear but not fully elaborated.

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?

The description adds the price of $3.00 USDC via x402, which is a useful behavioral disclosure. Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description does not explain what the tool returns or how it behaves beyond being a worksheet.

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 two sentences long, with no unnecessary words. It conveys the worksheet's contents and the price efficiently.

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 single parameter and no output schema, the description still leaves gaps: it doesn't state the action (e.g., returns a worksheet), explain the 'topic' parameter, or indicate when to use it. The price inclusion is helpful, but the tool context is incomplete.

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?

The only parameter 'topic' is not mentioned in the description. With schema description coverage at 0%, the description should explain or contextualize this parameter, but it does not. The worksheet content list (goals, inputs, ownership, deadlines) is only loosely related to the topic.

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 identifies the tool as a structured worksheet for goals, inputs, ownership, and deadlines. It lacks an explicit verb like 'create' or 'generate,' but the resource type and contents are clear, and the title corroborates. It does not differentiate from sibling store tools.

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?

No information is provided about when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or references to sibling tools.

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?

The description says 'recording decisions' which implies a write operation, directly contradicting the annotation readOnlyHint=true. This is a serious inconsistency and provides misleading behavioral information. The price disclosure is noted but does not offset the contradiction.

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 brief, front-loaded with the core functionality, and contains only two sentences. However, the second sentence about pricing is arguably non-essential, slightly reducing efficiency but not hindering clarity.

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 a minimal schema, no output schema, and no parameter descriptions. The description fails to explain the meaning of 'topic', expected input format, return value, or usage context. The read-only contradiction further undermines completeness, leaving the agent unable to use 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?

The input schema has exactly one parameter 'topic' with no description (0% schema coverage). The tool description does not mention this parameter or explain how decisions, owners, and due dates are encoded in it, failing to compensate for the missing schema documentation.

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 states the tool records decisions, owners, and due dates, which is a clear action and resource. The title 'Meeting Decision Log' reinforces the purpose. However, it does not explicitly differentiate it from sibling 'store' tools, though the decision-log focus is somewhat distinct.

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 alternatives. It only mentions functionality and pricing, leaving the agent without contextual decision-making information.

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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is known. The description adds no behavioral context beyond the annotations, and 'organizer' is ambiguous—it doesn't clarify whether the tool returns a report, stores data, or catalogs items. The price note is behavioral in a business sense but not in terms of tool execution.

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 extremely short (two sentences), but the first sentence is a product descriptor rather than a tool explanation, and the second sentence is a price. It is under-specified, not concise in a useful way. There is no front-loaded action or 'what it does' sentence.

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?

With one required parameter, no output schema, and sparse annotations, the description needed to compensate but fails entirely. It doesn't explain the purpose of the tool, the meaning of 'topic', the expected output, or any preconditions. The description is inadequate for any agent to select and invoke this 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?

The input schema has a single 'topic' parameter with no description, and schema description coverage is 0%. The description does not mention or explain 'topic' at all, so an agent has no idea what to pass. This is a critical gap in parameter semantics.

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 lacks a verb or clear action; 'neutral room-by-room household inventory organizer' is a noun phrase. It doesn't state what the tool does (e.g., create, store, retrieve, or organize inventory). The title 'Home Inventory Starter' hints at a purpose but the description remains vague and doesn't distinguish it from siblings like store-client-kickoff or store-weekly-reset.

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?

There is no guidance on when to use this tool or when not to. No alternatives are mentioned, no context provided. The only additional information is a price, which is not a usage guideline.

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?

The description mentions 'Price: $7.00 USDC via x402', implying a financial transaction and external payment interaction. This contradicts the annotations 'readOnlyHint: true' and 'openWorldHint: false', which indicate no state changes and no external world access. Per the rules, a contradiction warrants a score of 1.

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 concise and front-loaded, with two short sentences. However, it omits essential operational details and focuses on product features rather than tool behavior. Brevity is achieved at the cost of usefulness, making the structure suboptimal for an agent.

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?

With no output schema and an undocumented required parameter, the description fails to explain what the tool returns, how the payment works, or the role of 'topic'. Given the tool's simplicity, this is still inadequate for correct invocation.

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?

The required 'topic' parameter is not described at all. Schema description coverage is 0%, and the description does not compensate by explaining what 'topic' means or how it relates to the bundle. This leaves the agent guessing what input to provide.

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 identifies the resource (four ZeroStart worksheets as a bundled Markdown file) but lacks a specific verb such as 'download' or 'purchase'. The word 'delivered' implies an action but is passive. It does not mention the required 'topic' parameter, so the exact operation remains unclear.

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?

No guidance is given on when to use this tool versus the many sibling store tools. There is no mention of prerequisites, payment steps, or alternatives. The description simply lists the product and price without contextual usage direction.

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?

Annotations already declare readOnlyHint=true and idempotentHint=true, establishing safety. The description adds the price ('$2.00 USDC via x402') and content structure ('four-part'), which are useful beyond annotations. However, it doesn't disclose whether the worksheet is returned directly or how the payment affects the interaction, so it's adequate but not rich.

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 extremely brief with two sentences and no filler. The first sentence states the resource type, and the second provides pricing. However, it may be too short to be genuinely useful, but by conciseness and structure standards it is well-organized and front-loaded.

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 absence of an output schema and only one parameter, the description should clarify what the tool returns and how to use it. It does not mention return values, topic semantics, or how the price is applied. The description is incomplete for an agent to safely invoke the tool, even though annotations cover the read-only aspect.

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 doesn't mention the required 'topic' parameter at all. With one required parameter and no explanation of its meaning or format, the agent cannot infer how to fill it. The description entirely fails to compensate for the schema's lack of documentation.

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 only states 'A reusable four-part weekly planning worksheet.' It lacks an explicit verb indicating what the tool does (e.g., provides, creates, returns). This is close to a tautology with the title '20-Minute Weekly Reset' and does not clearly differentiate from sibling store-* tools.

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 alternatives. It doesn't mention use cases, prerequisites, or relationships to sibling tools like store-operations-bundle or store-client-kickoff, leaving the agent without context for selection.

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?

Annotations already provide read-only, idempotent, and non-destructive hints. The description adds valuable behavioral context: the operation requires an explicit bounded field map, produces a reversible change report, and costs $1.00 USDC via x402. No contradiction with annotations.

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 concise and front-loaded, consisting of two sentences with no redundant words. It efficiently states the core action, output, and pricing information.

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 open-ended input schema and no output schema, the description is the primary source of guidance. It explains the output but leaves the exact input structure (e.g., how the field map is specified) vague. For a tool with potentially complex inputs, this is a notable gap.

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?

The input schema defines no parameters (just an object with maxProperties and additionalProperties). The description adds meaning by indicating the input likely includes a field map and JSON records, which is helpful but not fully detailed. Since there are 0 parameters, baseline is 4 and the description contributes some value.

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 clearly states the action (apply), the resource (JSON records), and the output (transformed data plus a reversible change report). It differentiates from siblings like 'document-transformation' by emphasizing 'explicit, bounded field map' and 'reversible change report', which are distinctive.

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?

There is no explicit guidance on when to use this tool versus alternatives. The description implies usage for transforming JSON records with a bounded field map, but it does not mention when not to use it or name alternative tools for similar purposes.

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