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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds useful scope detail by naming the three evaluation dimensions. However, it does not disclose what the audit produces (findings, pass/fail, scores) or any limits on input size, which matters since there is no output schema.

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?

A single front-loaded sentence naming the action and the criteria, with no filler. It is efficient, though the terse '16-pillar rubric' reference is left unexplained.

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 a moderately complex analyzer with no output schema, so the description should indicate the shape of the result (issues found, severity, scores). It also never explains what the 16-pillar rubric is or how contextDescription influences the audit, leaving an agent under-informed about 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 description coverage is 100%, so both parameters are documented in the schema, and the description merely restates that markup is HTML/JSX/CSS. It adds no meaning for contextDescription or on how markup and context are combined in the evaluation, so the 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 names a specific verb (Audit) and resource (HTML, JSX, or CSS) plus the criteria checked (AI clichés, accessibility, 16-pillar rubric), which clearly separates it from the generate_* and search/fetch_reference siblings. It stops short of explicitly naming a sibling it contrasts with, but an agent can identify the operation without opening the schema.

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 call this versus the sibling tools (e.g., after generating a genome or test plan, or before generating markup). No preconditions, no when-not-to-use, and no mention of typical workflow position 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?

Annotations already declare readOnly, idempotent, non-destructive behavior, so the safety profile is covered. The description adds that it generates popup questions, a useful behavioral detail, but does not describe the interactive process, output format, or any side effects beyond that.

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?

A single, front-loaded sentence that states the tool's core action and output. No wasted words, though the jargon '16 pillars' could be opaque without context.

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 is minimal for a tool that likely initiates a complex, interactive discovery process. It does not explain what the '16 pillars' are, how the popup questions are returned, or what the agent should expect as a result. With no output schema, this leaves a 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?

Schema description coverage is 100%, so parameters are fully documented in the schema. The description adds no additional meaning about parameter usage, making the baseline score of 3 appropriate.

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

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

States a specific verb ('Initiate') and resource ('intent discovery') for a frontend project, and describes the output ('tailored popup questions'). However, it does not differentiate from sibling tools like generate_genome or audit_design, leaving the agent to infer the distinct role.

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 word 'Initiate' hints it is a starting step, but no conditions, prerequisites, or exclusions are provided. An agent must infer its place in the workflow.

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?

Beyond the annotations (readOnly=true, destructive=false, openWorld=true), the description adds real behavioral value: it detects client-rendered SPAs and explicitly 'flags unrendered content rather than hallucinating,' which tells the agent how to interpret sparse results. It stops short of covering rate limits, auth, redirect behavior, or non-idempotency implications despite idempotentHint=false.

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?

Three sentences, front-loaded with the core action and output set, then the SPA behavior, then the limitation. Every sentence carries distinct information and none restates the name or annotations.

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, the description does the work of describing return contents and the SPA/CSS limitations, which is sufficient to call it safely. The remaining gap is the unexplained 'focus' parameter, whose behavioral impact is never addressed.

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 nothing about the 'focus' enum (full/layout/typography/color/motion) and how each value changes what is returned or which extractions are skipped, and the schema's own label ('Analytical focus area.') is too terse to compensate.

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?

States a specific verb and resource ('Fetch and deconstruct a live reference website server-side') and then enumerates exactly what is extracted (title, meta description, h1-h4, links, readable text). The 'server-side' framing and SPA detection distinguish it from the search/discovery siblings like pixasso_search_references.

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?

Provides a clear when-not with an alternative ('Does not extract computed CSS... use headless browser tools or user screenshots for visual styling'), which steers the agent away from a likely misuse. However, it never states when to prefer this over sibling tools such as pixasso_search_references or pixasso_discover_intent, so sibling routing is left to inference.

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, and openWorldHint=false, so the safety profile is well covered. The description adds that the output is a Graphify-style Mermaid visualization, but it does not explain what that format entails, whether any state is persisted, or how the result should be consumed.

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 states the core action and output without any filler. Every word contributes to identifying the tool's purpose.

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 the description does not explain what the generated visualization contains or how it is returned. While the annotations cover the safety profile and the schema documents inputs, the description leaves gaps around output structure and ideal invocation context.

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 fully documents projectName, decisions, and tasks. The description only indirectly references decisions and task DAG state; it adds no parameter syntax, formatting, or requirement details beyond what the schema already provides.

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 (Build) and resource (Graphify-style Mermaid visualization) with a clear scope: mapping design decisions and Task DAG execution state. It distinguishes this tool's output from the other pixasso siblings implicitly, but it does not explicitly name or contrast with any sibling tool.

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 when-to-use guidance, prerequisites, or alternatives. It does not say when this visualization should be generated relative to other pixasso tools (e.g., audit_design, generate_test_plan), leaving selection largely to inference.

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 and openWorldHint=false, so the safety profile is fully covered without the description. The description adds that the output is a compiled design-genome.yaml artifact, but says nothing about validation failure behavior, what happens with incomplete decisions, or how results are returned. Useful context, but thin beyond 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?

A single tight sentence with no filler, and the action chain ('validate' then 'compile') is front-loaded. It is efficient, though arguably under-sized for a tool of this complexity.

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 an 8-parameter tool with nested objects, five required fields, and no output schema, one sentence is insufficient. It omits the workflow context (which sibling produces the reference data this tool consumes), the five required inputs, and any description of the resulting YAML so the agent can verify a successful call.

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 8 parameters, nested objects, and 75% schema description coverage, the schema largely documents itself. The description contributes no parameter-level meaning at all — it never mentions required fields (projectName, themeMode, groundTone), the enum choices, or how nested structures like references and colorTokens should be shaped.

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 two specific verbs ('validate', 'compile') against a named resource ('design-genome.yaml specification'), so the agent knows it produces a concrete artifact from design decisions. It does not, however, differentiate itself from siblings like pixasso_generate_brain or pixasso_generate_test_plan, and the dual validate/compile framing leaves slight ambiguity about which is the primary action.

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 when-to-use guidance, no statement of prerequisites (e.g. that pixasso_fetch_reference must run first to populate the references array), and no routing to alternatives among the six sibling tools. The agent is left to infer the position of this tool in the pipeline.

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 and openWorldHint=false, so the safety profile is covered. The description usefully adds what artifact is produced (a matrix across four viewports plus an overflow script), but says nothing about output format or any return structure.

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?

A single dense sentence that front-loads the verb and resource with zero filler. Every clause (multi-viewport, the specific widths, overflow detection) 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 low-complexity read-only generation tool with full schema coverage and no output schema, the description is adequate but thin. It omits prerequisites and the ordering relationship to sibling generation tools, which matters in a suite where generate_genome or discover_intent may need to run first.

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 testUrl, projectName, and testedViewports. The description only restates the viewport defaults already given in the schema, adding no new semantic detail beyond the 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?

States a specific verb (Generate) and concrete resource (multi-viewport testing matrix plus overflow detection script), including the exact viewport widths. Clear what it does, but it offers no differentiation from siblings like pixasso_audit_design or pixasso_generate_genome.

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 when-to-use guidance, no preconditions, and no mention of alternatives among the six sibling pixasso tools. An agent cannot tell from the description whether a genome or intent must exist first, or when to choose this over audit_design.

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=false, so the safety profile is covered. The description adds genuine scope detail (20 catalogs, 11 templates, 16 pillars), which is useful, but it is silent on result ranking, limits, or pagination for what is inherently a large result set.

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?

A single front-loaded sentence that quantifies the search surface and wastes no words. Nothing extraneous.

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, read-only, idempotent search with full schema coverage and no output schema, the description covers the search domain adequately. It could say something about the shape or volume of returned results, but nothing essential for correct invocation is missing.

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 all three parameters (query, tag, category) documented in the schema itself, including the enum values. The description adds no parameter-level detail beyond that, so the 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?

Clear verb (search) plus an explicit resource scope: catalogs, templates, and frontend pillars. An agent knows this is a broad keyword search, but the description never contrasts itself with the sibling pixasso_fetch_reference, so the boundary between searching and fetching a single item is left to inference.

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 when-to-use statement and no alternatives are named. The description implies broad retrieval, but it never says to use fetch_reference when a specific item is already known, nor excludes any cases. Guidance is absent rather than misleading.

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