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

With no annotations, the description carries the full burden. It does not disclose whether the tool is read-only, what side effects exist, or what the output contains. Only the name and category suggest behavior.

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, concise and front-loaded with the purpose. It could benefit from structured detail, but remains 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?

Given no output schema and no annotations, the description should provide more context about return values, usage context, and flag behavior. It is insufficient for a multi-dimensional tool.

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 100% with descriptions for each parameter (input, flags, agent). The description adds no additional meaning beyond the schema, warranting the baseline score.

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 'Multi-dimensional codebase analysis with comprehensive insights', which clearly indicates the tool performs analysis on codebases. It distinguishes from sibling tools like 'sc:brainstorm' or 'sc:explain' by specifying analysis, though it could be more specific about the dimensions.

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 'Category: analysis, Priority: IMPORTANT' provides minimal context but no when-to-use or when-not-to-use instructions.

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?

No annotations provided, so the description must carry the full burden. It mentions 'interactive' and 'Socratic dialogue' but doesn't disclose side effects, auth needs, or limitations. The behavior remains vague.

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 very short (one line) with no superfluous words. However, it may be too terse, lacking important context that could be included without adding much length.

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 three parameters and no output schema, the description should provide more about the tool's interactive nature, expected outcomes, and when to use it. It leaves significant gaps for an apparently complex tool.

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?

All three parameters have descriptions in the schema (100% coverage), so the baseline is 3. The description lists flags and agents but doesn't elaborate on their meanings beyond what's in 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 states a specific verb ('discover') and resource ('requirements') with a clear method ('Socratic dialogue'). It also includes category and priority, but doesn't fully differentiate from siblings like sc:analyze or sc:design.

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 or avoid this tool. The term 'requirements discovery' implies a use case, but no alternatives or exclusions are mentioned.

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?

No annotations are provided, so the description must disclose behavioral traits. It fails to describe side effects, authentication needs, rate limits, or whether the tool is destructive or read-only. 'Intelligent scaffolding' is not transparent.

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 with a parenthetical, making it concise. It front-loads the key phrase 'Universal project builder'. However, it could be improved by removing the category/priority noise.

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 output schema and annotations, the description is insufficiently complete. It does not explain the build process, return values, or expected outcomes. For a complex build tool, this leaves significant gaps.

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 100%, so the input schema already documents all parameters. The description adds no additional meaning about parameters like 'input', 'flags', or 'agent'. Baseline 3 applies.

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 'Universal project builder with intelligent scaffolding', which indicates a build/creation purpose but is vague. 'Intelligent scaffolding' is jargon and doesn't clearly specify what the tool does. It does not effectively distinguish from sibling tools like sc:implement or sc:design, which might also involve building.

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 usage guidelines are provided. The description does not indicate when to use this tool over alternatives like sc:implement or sc:test. There is no context on prerequisites or exclusions.

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

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

No annotations exist, so the description must fully disclose behavioral traits. It mentions 'adaptive interaction modes' but does not explain what these modes are, how behavior changes, side effects, auth requirements, or response format. This leaves critical gaps for informed invocation.

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 one sentence with a parenthetical tag, making it concise but at the expense of completeness. It is front-loaded with core purpose but lacks detail. It could be restructured to include more information 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 tool has 3 parameters, no output schema, and no annotations, the description is insufficient. It fails to explain 'multi-expert' details, mode differences, return values, or prerequisites. With many sibling tools, more contextual differentiation is needed.

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 100%, so parameters are documented. The description adds some context by listing available flags and valid agent values, but it largely restates schema info. It does not provide deeper meaning beyond what the schema already conveys.

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 specifies 'multi-expert business analysis with adaptive interaction modes,' which indicates the purpose is business analysis with a collaborative approach. It somewhat distinguishes from siblings like 'sc:analyze' by implying a multi-expert method, but the term 'business analysis' remains broadly defined.

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 provided on when to use this tool versus alternatives. The tag 'Priority: IMPORTANT' only indicates urgency, not usage context. No explicit when-not-to-use or alternative tool suggestions are given.

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?

No annotations provided; description only mentions cleanup and debt reduction without disclosing behavioral traits like destructiveness, side effects, or permissions. Flags like --unused suggest deletion but not confirmed.

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?

Single sentence plus parenthetical is extremely concise, front-loading key info with zero waste.

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, yet description fails to explain return values or what happens after cleanup. Lacks context on effects or outcomes.

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 100%, so baseline is 3. Description adds no additional parameter context beyond schema descriptions.

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?

Description clearly states the tool is for project cleanup and technical debt reduction, with category and priority. However, it does not explicitly distinguish from siblings like sc:improve.

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?

Implies usage through 'maintenance' category and 'RECOMMENDED' priority, but lacks explicit when-to-use, when-not-to-use, or alternatives 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?

No annotations provided, so the description carries the full burden. It fails to disclose any behavioral traits such as whether the tool modifies state, requires specific permissions, or has side effects.

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 (one line). While concise, it is under-specified for the apparent complexity of system design orchestration, sacrificing completeness.

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 and the description does not explain return values or behavioral details. With 3 parameters and a non-trivial task, the description is insufficient.

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 100%, so baseline is 3. The description adds no additional meaning beyond the schema's parameter descriptions.

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 'System design and architecture orchestration', which clearly identifies the tool's domain. However, it doesn't differentiate from similar planning tools like sc:brainstorm or sc:estimate.

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 on when to use this tool versus alternatives like sc:brainstorm or sc:implement. Lacks any conditional context or exclusions.

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

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

With no annotations, the description carries full burden. It only mentions 'documentation generation' but does not disclose behavioral traits like side effects, permissions, rate limits, or output format. The user cannot infer whether this tool is read-only or what it returns, leaving significant gaps.

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, very concise and front-loaded with the core purpose. The addition of 'Category: knowledge, Priority: RECOMMENDED' is meta-information that could be structured elsewhere, but it does not detract significantly. It earns a 4 for being 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?

Given the tool has 3 parameters and no output schema, the description is insufficiently complete. It does not explain what the tool returns or how to use the parameters effectively. The schema descriptions help, but the tool-level description lacks essential context for an agent to use it properly.

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 100%, so the input schema already describes all parameters adequately. The tool-level description adds no additional meaning beyond 'comprehensive documentation', so baseline score of 3 is appropriate.

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 'Comprehensive documentation generation with best practices' clearly states the tool's purpose as generating documentation. However, it does not distinguish this tool from siblings like sc:explain or sc:analyze, which could also produce documentation-like output, thus missing the differentiation for a top score.

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 provided on when to use this tool versus alternative sibling tools (e.g., sc:explain, sc:troubleshoot). The description lacks explicit context, exclusions, or alternatives, making it difficult for an AI agent to decide when to invoke this tool.

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?

No annotations are provided, so the description should disclose behavioral traits. It only mentions the tool's function but does not state whether it is read-only, requires permissions, or has side effects. This lack of transparency limits the agent's understanding.

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, using a single sentence to convey purpose. It also includes metadata (category and priority) which is useful but not excessive. It is well-structured but lacks additional context that could be added without verbosity.

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

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

Given the tool has three parameters and no output schema, the description is somewhat minimal. It does not explain the nature of the output or any prerequisites. However, the schema covers the parameters well, so it is minimally adequate.

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 100% coverage with detailed descriptions for all parameters, including optional flags and agent options. The description adds no additional parameter semantics, so the baseline score of 3 applies.

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 that the tool performs evidence-based project estimation with risk assessment, using a specific verb (estimate) and resource (project). While it does not explicitly differentiate from siblings like sc:analyze or sc:brainstorm, the unique purpose is implied through the focus on estimation and risk.

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 usage guidelines are provided. The description does not indicate when to use this tool versus alternatives, nor does it offer any contextual hints for invocation, such as prerequisites or scenarios.

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

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

With no annotations, the description carries full burden. It only mentions 'progressive learning approach' but does not specify what behavior that entails (e.g., adaptive explanations, follow-up questions). No side effects or constraints are disclosed.

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 with no wasted words. It is concise, but it could be more structured (e.g., front-loading the verb). Still, it earns its place.

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

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

For a tool with 3 parameters and no output schema, the description is insufficient. It does not explain what the tool returns (e.g., text, step-by-step), error conditions, or how the progressive approach works. Missing key contextual information.

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 100%, so baseline is 3. The description adds 'progressive learning approach' hinting at behavior but does not enhance parameter understanding beyond the schema descriptions. It provides no additional context for the flags or agent.

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 'Educational explanations with progressive learning approach', which indicates a verb (explain) and resource (educational topics), but it is vague and does not distinguish from sibling tools like sc:analyze or sc:brainstorm. The specific scope is 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 provided on when to use this tool versus alternatives. The description lacks usage context, prerequisites, or exclusions, making it difficult for an agent to choose correctly.

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?

No annotations, and the description does not disclose any behavioral traits such as side effects, authentication needs, or what 'intelligent operations' entails.

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?

Extremely brief but lacks substance. The single sentence is not informative, and the category/priority metadata does not compensate for missing functional explanation.

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, no annotations, and the description does not cover essential aspects like return values, operation types, or error conditions. Inadequate for a tool with 3 parameters.

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 100%, so baseline is 3. Description adds no additional meaning beyond the schema's parameter descriptions.

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?

Description says 'Git workflow assistant with intelligent operations', which is vague and does not specify a concrete action or resource. It fails to differentiate from sibling tools like sc:workflow or sc:implement.

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 on when to use this tool versus alternatives. No prerequisites, exclusions, or context 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 are absent, so the description must disclose behavioral traits. It mentions 'intelligent persona activation' but does not explain what that entails, nor does it discuss safety, permissions, or side effects.

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 very short (one phrase), but it lacks structure and is not front-loaded. It is concise but at the expense of 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?

Given the tool's complexity (3 params, many siblings) and no output schema, the description is incomplete. It does not explain return values, flag behaviors, or persona activation details.

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 100% (all parameters have descriptions). The description adds no extra meaning beyond what the schema already provides, so baseline score is appropriate.

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 it's for feature implementation with persona activation, indicating a development task. However, it does not distinguish from siblings like sc:build or sc:task, and the title is null.

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 on when to use this tool versus alternatives. With 21 sibling tools, explicit usage context is missing.

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?

Without annotations, the description carries full burden for behavioral transparency. It implies code modification ('systematic refactoring') but does not disclose potential side effects, permission requirements, or whether changes are reversible. No details on what happens after 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 a single sentence with a parenthetical note, which is concise but not well-structured. It is front-loaded with the purpose but lacks headings or prioritized info. No wasted words, but it could be more informative.

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

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

Given the tool has three parameters, no output schema, and no annotations, the description is incomplete. It does not explain return values, success criteria, or how the flags and agent parameter affect behavior. The agent lacks sufficient information to confidently invoke the tool.

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 provides complete descriptions for all three parameters, so the baseline is 3. The tool description does not add further semantic value beyond the schema, but it does provide a high-level context of evidence-based improvement.

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 'Evidence-based code improvement with systematic refactoring' which gives a general purpose of improving code, but it lacks a specific verb-resource combination like 'refactor code' or 'improve code quality'. It mentions a category and priority, but does not clearly distinguish from sibling tools such as sc:analyze or sc:build.

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 provided on when to use this tool versus alternatives like sc:analyze or sc:design. There is no mention of prerequisites, when not to use it, or comparison with other sc: 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?

No annotations provided, so the description bears full burden. It does not disclose whether the tool is read-only, requires authentication, or has side effects. 'Browsing and discovery' suggests read-only, but not explicit. Missing behavioral traits beyond the short phrase.

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?

Single sentence is concise and front-loaded with key terms. However, it omits necessary detail for a tool with three parameters and no output schema. Conciseness is good but not at the expense of 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?

Given no output schema and moderate complexity (three params, one required), the description is insufficient. It doesn't explain what the tool returns, how to use the flags together, or what 'intelligent discovery' entails. Leaves the agent guessing about expected behavior.

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 100%, so the schema already documents all parameters (input, flags, agent). The description adds minimal value: only mentions the command version (SuperClaude v4.0.9) and flag options already in schema. No new semantic context beyond 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?

Description states 'Command catalog browsing and intelligent discovery' which gives a general purpose but lacks specificity. It doesn't clearly differentiate from sibling tools like sc:analyze or sc:explain, which also involve discovery. The mention of 'Category: meta' helps, but the core action is vague.

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 when-to-use or when-not-to-use guidance. The 'Priority: RECOMMENDED' hint is present but doesn't compare with alternatives. The agent must infer context from the category and siblings.

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?

No annotations are provided, so the description carries the full burden of behavioral transparency. It mentions 'loading' and 'restoration', but does not disclose potential side effects (e.g., overwriting context), requirements, or error conditions. This is insufficient for a tool that likely modifies session state.

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 with additional category and priority information. It is concise and front-loads the core purpose. There is no wasted text, though it could be expanded with critical behavioral details without losing 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?

Given the presence of many sibling tools, no output schema, and no annotations, the description lacks sufficient depth. It does not explain the full behavior of loading and restoration, such as what happens to existing context, how cross-session works, or what the return value is. This leaves significant gaps for an agent.

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 100%, so the individual parameter descriptions are already present. The tool description adds high-level context but does not enhance understanding of parameters beyond what the schema provides. Thus, baseline 3 is appropriate.

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: 'Project context loading and cross-session restoration'. It includes a category and priority, which adds context. However, it could be more specific about what 'project context' entails, but it is sufficiently distinct from sibling 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. Among many sibling tools (e.g., sc:analyze, sc:build), there is no mention of when to prefer sc:load, nor any conditions or prerequisites.

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

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

With no annotations, the description fully bears the burden of behavioral disclosure, but it only gives a high-level purpose. It does not explain whether the tool modifies state, is read-only, or requires prior context. The flags and agent parameters hint at functionality, but behavior remains opaque.

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 very short (one sentence), which is concise but lacks necessary detail. It is front-loaded with the purpose, but the brevity sacrifices completeness. It could include more context without being wordy.

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

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

Given the tool has three parameters and no output schema, the description should explain what the return value or outcome is. It does not mention what the tool produces after reflection, leaving a significant gap. The description is not complete enough for effective use.

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 100%, so the schema already documents each parameter. The description reinforces that it involves reflection but adds no new semantic details beyond the schema's own descriptions. The baseline is 3, and the description does not improve it.

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 it is for 'meta-cognitive reflection and performance analysis', which gives a specific purpose. However, it does not differentiate from sibling tools like sc:analyze or sc:improve, which could have overlapping functionality.

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 provided on when to use this tool versus alternatives. The description does not indicate context, prerequisites, or when not to use it, leaving the agent without direction for tool 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?

With no annotations, the description should disclose behavioral traits. It mentions 'intelligent context capture' without explaining what that entails, side effects, or required permissions. The behavior is under-specified.

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 very short, which is concise, but it lacks substance. It sacrifices necessary detail for brevity. The single sentence does not fully describe the tool's functionality.

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

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

Given the tool has 3 parameters and no output schema, the description should explain return values and behavior. It does not. The term 'intelligent context capture' is vague and not elaborated. Incomplete for effective use.

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 100%, so baseline is 3. The description does not add additional parameter meaning beyond the schema, but the schema itself is descriptive enough. No extra value provided.

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 mentions 'session state persistence' which gives a general idea, but lacks a specific verb-resource combination. It does not clearly state 'save' as the action, relying on the tool name. It is not a tautology but could be clearer.

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 guidelines provided on when to use this tool versus alternatives like sc:load or other sibling tools. The description does not indicate prerequisites or scenarios where this tool is appropriate.

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?

No annotations exist, and the description does not disclose any behavioral traits (e.g., side effects, auth needs, rate limits). The tool's behavior is completely opaque beyond being 'guidance'.

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 plus parenthetical – very concise. However, it lacks structure and detail, leading to ambiguity. Conciseness without completeness does not fully serve the 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?

Given no output schema, no annotations, and 3 parameters with one required, the description is insufficient. It does not explain the tool's return value or how it integrates with siblings. Many siblings require more context to distinguish.

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 100%, so the baseline is 3. The description adds no extra meaning to the parameters beyond the schema's own minimal descriptions (e.g., flags listed). It does not explain how parameters combine or affect tool behavior.

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 'tool selection and optimization guidance' but the verb is implicit. It does not clearly specify the action performed (e.g., 'selects' or 'recommends'). The category 'meta' hints at a meta-tool, but purpose remains vague compared to siblings.

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 its siblings. The priority 'RECOMMENDED' and category 'meta' are mentioned but not contextualized. No when-not-to-use or alternatives 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?

No annotations are provided, so the description bears the full burden. It mentions 'spawning and intelligent coordination' but does not disclose side effects, authentication needs, rate limits, or whether the operation is destructive. The input schema hints at flags like --parallel and --merge, but the description does not explain their behavioral implications.

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, highly concise. However, the parenthetical '(Category: operations, Priority: IMPORTANT)' could be omitted or placed in annotations, slightly reducing its efficiency. Overall, it is well-structured and front-loaded with the main concept.

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 no output schema and a complex tool that spawns agents, the description is too sparse. It does not explain what the tool returns, how coordination works, or how to interpret the flags. For a tool with 20 siblings, more context is needed to ensure 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?

Schema description coverage is 100%, so baseline is 3. The description does not add much beyond the schema; it includes 'Category: operations, Priority: IMPORTANT' which is not parameter-specific. The schema itself describes 'input' as 'SuperClaude v4.0.9 command input with optional flags,' which is reasonably informative. Hence, a score of 3 is appropriate.

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 'Specialized agent spawning and intelligent coordination' lacks a specific verb and resource, making it vague. It does not clarify what 'spawning' entails or how it differs from sibling tools like sc:analyze or sc:brainstorm. The inclusion of 'Category: operations, Priority: IMPORTANT' does not compensate for the lack of clear purpose.

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 provided on when to use this tool versus alternatives. There is no mention of prerequisites, appropriate contexts, or when not to use it. The description only labels it as 'operations,' which is insufficient for an agent to decide between this and many other sc:* 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?

No annotations are provided, so the description must convey behavioral traits. It mentions 'cross-session persistence' but does not explain side effects, required permissions, or potential impacts. It includes 'Category: operations' and 'Priority: IMPORTANT', but these are more metadata than behavioral disclosure. No information about authentication, rate limits, or destructive actions.

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, which is concise, but it includes extraneous information like 'Category: operations, Priority: IMPORTANT' that seems like metadata rather than explanatory text. It could be restructured to be more informative without adding length.

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 three parameters and no output schema. The description does not explain what the tool returns, nor does it provide context on how to use the flags or interpret results. The lack of output schema makes it incomplete; the agent has no information about the response format.

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?

All three parameters have descriptions in the input schema (100% coverage). The description adds no additional meaning beyond the schema; it merely reiterates the flags and preferred agents. The baseline is 3 since schema coverage is high and the description adds minimal extra 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 states 'Enhanced task management with cross-session persistence', clearly indicating task management with persistence. The input schema hints at multiple operations (create, status, etc.), but these are not explicitly listed in the description. The tool name 'task' distinguishes it from siblings like analyze or build, but the description does not differentiate from sc:workflow or others.

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 use cases, prerequisites, or exclusions. The sibling tools list includes 21 other tools, but no comparative advice is 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?

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It does not mention destructive potential, required permissions, side effects, or any constraints. The tool could be safe or hazardous, and the description offers no insight.

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, making it concise, but it includes parenthetical metadata (Category, Priority) that adds noise rather than operational clarity. It could be more effectively structured to front-load the action.

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

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

Given the tool has 3 parameters (one required), no output schema, and moderate complexity, the description should provide more context about what the tool does with those parameters. It fails to explain how input, flags, and agent are used, leaving the agent with insufficient information 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?

Schema description coverage is 100%, so each parameter already has a description. The tool description adds no additional meaning beyond the schema; it only reiterates the 'automation' concept. Baseline score of 3 is appropriate.

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 'testing strategy with automation,' which broadly indicates testing-related functionality. However, it does not specify whether the tool runs tests, generates test plans, or executes automated test suites. The verb is unclear, making the purpose only moderately clear.

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 provided on when to use this tool versus its siblings like sc:analyze, sc:implement, or sc:troubleshoot. The description offers no context for appropriate usage scenarios or exclusions.

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

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

No annotations are provided, so the description carries full burden. It fails to disclose any behavioral traits such as whether the tool modifies state, requires permissions, or has side effects. The 'Priority: CRITICAL' is not behavioral information. The description is silent on key behavioral aspects.

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 includes category and priority tags. It is concise but not overly terse. The information is front-loaded, though the tags add minor noise. No unnecessary repetition.

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

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

Given the tool has three parameters and no output schema, the description should provide more context on return values, error handling, or typical use cases. It omits behavioral and outcome details, making it insufficient for an agent to fully understand invocation consequences.

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 100%, with each parameter having a clear description. The tool description does not add value beyond the schema, matching the baseline. The parameter descriptions themselves are adequate.

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 generic phrase 'Intelligent problem diagnosis and systematic resolution' which conveys the general purpose but lacks specificity. It does not differentiate from sibling tools like sc:analyze or sc:explain. The tool name 'troubleshoot' partially compensates, but the description adds little clarity.

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. The 'Category: analysis' hints at a domain but does not specify context or exclusions. No mention of prerequisites or when not to use.

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?

No annotations are provided, so the description carries the full burden. It mentions parallel execution but does not disclose side effects, authentication requirements, rate limits, or what gets affected (e.g., does it modify state?). The behavioral insight is minimal.

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 with category and priority tags, front-loading key information. Every word earns its place, though it is brief.

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 complexity (orchestration with 3 parameters, no output schema), the description is too sparse. It does not explain return values, prerequisites, or how parallel execution works. The schema covers parameters, but operational context is lacking.

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 100%, so baseline is 3. The description adds no new meaning beyond the schema; it does not explain how the parameters relate to 'multi-stage workflow orchestration' or 'parallel execution'. The schema already describes the flags and agent, so no penalty.

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 'Multi-stage workflow orchestration with parallel execution', specifying the verb (orchestrates) and resource (multi-stage workflows) and distinguishing it from sibling tools like sc:task or sc:implement by emphasizing orchestration and parallelism.

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 context via 'Category: orchestration, Priority: IMPORTANT', implying use for orchestration tasks, but lacks explicit guidance on when not to use this tool or references to alternatives like sc:task or sc:spawn.

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