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

No annotations, so the description carries the burden, and it does reasonably well: it names the rubric dimensions applied and the output shape (0-100 score plus surgical fix advice), which tells the agent this is a non-mutating analysis. It never explicitly states it makes no modifications or requires no auth, and gives no cost/latency expectations for large documents.

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?

Front-loaded with the verb and resource, then the rubric checklist and return value in one dense sentence. Nothing is redundant, but the single run-on sentence with an embedded five-item list is harder to scan than a short split would be.

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 correctly supplies the return contract (0-100 score, fix advice) and the checks performed, which is what an agent needs before invoking. Minor gaps remain around input precedence and document size expectations, but the core is covered.

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 explains content and filePath including the either/or constraint. The description adds only the word "text," hinting that raw content works too, but gives no size limits, format expectations, or precedence rules beyond what the schema states.

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 ("Audits") and resource ("specification document or text"), then enumerates exactly what it checks (buzzwords, error codes, Gherkin criteria, UI matrices) and what it returns. This is clearly a read/analysis tool, distinguishable from the generate_* siblings that produce documents.

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: feed it a spec to get a quality score and fixes. But there is no explicit when-to-use guidance, no exclusions, and no routing versus the generate_srs / generate_sdd siblings an agent could plausibly confuse it with. Also silent on what happens if both content and filePath are supplied.

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 behavioral burden. It implies that DESIGN.md is written, and the schema's outputPath field describes path resolution and rejection rules, but the description itself does not disclose overwrite behavior, permission requirements, failure modes, or whether generation is purely local. The mention of deterministic 5-State matrices adds some behavioral context but not enough for a file-writing generator.

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 front-loaded with the main action and artifact, and every clause relates to what the specification contains. It is somewhat dense as a single long sentence, but it avoids filler and communicates the output scope 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?

The tool has five parameters, nested uiScreens objects, no annotations, no output schema, and only 40% schema description coverage. The description explains the generated document's contents but leaves major gaps around parameter usage, file-writing behavior, path semantics, template presets, and when this tool should be selected over sibling generators.

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 only 40%, so the description should compensate, but it does not explain the parameters. It lists generated content such as color tokens, typography scale, component hierarchy, and screen states, but says nothing about detail modes, templatePreset values, uiScreens structure, projectName, or how outputPath affects behavior beyond what the schema already documents.

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 and resource: generates a frontend UI/UX Design Specification as DESIGN.md. It also names the document's concrete contents, so an agent can distinguish it from PRD/SRS/ERD generators by resource. However, it does not explicitly compare itself with any sibling tool such as generate_full_blueprint or generate_prd.

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 says what is generated but gives no explicit guidance on when to use this tool versus generate_srs, generate_prd, generate_sdd, generate_full_blueprint, or audit_spec_completeness. It does not state prerequisites, exclusions, or which sibling to choose when the user needs a broader blueprint instead of a design spec.

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 the behavioral burden. It helpfully discloses the generated contents (Mermaid diagram, data dictionary, index strategies, FK cascades, SQL DDL), but it does not state overwrite behavior, file-writing side effects, permission requirements, or error conditions.

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 definition is a single, front-loaded sentence with no filler. Every phrase describes a concrete output artifact, making it efficient and easy to scan.

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 artifact list is useful for understanding what will be returned. However, for a seven-parameter generator with low schema description coverage and no annotations, the definition still leaves input semantics and usage conditions under-specified.

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 only 29%, and the description mentions no parameters at all. The schema documents detail, outputPath, field type, and references, but projectName, entities, databaseEngine, templatePreset, indexes, and cascadeRules remain unexplained, so the description does not compensate for the coverage gap.

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 gives a specific verb and resource: generates an Entity Relationship Diagram (ERD.md). It also lists the concrete artifacts included, so an agent can distinguish this documentation-generation tool from sibling spec generators such as generate_srs or generate_prd.

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 explains what the tool produces but gives no when-to-use guidance, no exclusions, and no comparison to sibling tools. An agent must infer usage solely from the tool name and output description.

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 carry the full behavioral burden, but it only says the output is production-grade Markdown files. It does not disclose file-writing side effects, overwrite behavior, permissions, failure modes, or how outputDir/includeContent interact. The phrase 'anti-hallucination' describes intent rather than operational 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 definition is a single front-loaded sentence that immediately states the action and scope, followed by a compact parenthetical list of outputs. It is efficient and has no filler, though the one-sentence format leaves no room for important usage or behavioral 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?

This is a complex generator with 16 parameters, nested objects, no annotations, no output schema, and only 63% schema description coverage. The one-sentence description identifies what it produces but omits file-writing behavior, prerequisites, interactions with outputDir and includeContent, and guidance relative to the individual document generators, so it is not complete enough for reliable 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?

With 16 parameters and only 63% schema description coverage, the description should compensate for undocumented parameters, but it adds no parameter-level meaning. It mentions the seven generated documents but does not explain projectName, description, detail, outputDir, includeContent, templatePreset, or key nested structures beyond what the schema already states.

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 and resource: generating the entire synchronized engineering blueprint suite. It also enumerates the seven document types produced, so an agent can tell this is the full-suite generator rather than the individual document generators. It stops short of explicitly naming or contrasting those sibling tools, which keeps it from a 5.

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 this tool is for producing the complete blueprint suite, but it gives no explicit when-to-use guidance, prerequisites, or alternatives. It does not state when an agent should prefer this over generate_prd, generate_srs, generate_erd, generate_sdd, or generate_design_spec, leaving that choice 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?

No annotations are provided, so the description carries the full behavioral burden and it does not disclose that this writes a file to disk, whether it overwrites an existing PRD.md, path-resolution defaults, or what happens on failure. The single clue about the artifact is the "(PRD.md)" filename suffix, which is thin for a write operation with zero annotation coverage.

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 densely-packed sentence with the artifact type and its defining characteristics front-loaded. No wasted words, though the parenthetical acronym stacking is slightly heavy.

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 10-parameter generator with no output schema and no annotations, the description conveys what artifact is produced and its key sections, which is useful. It is not complete enough regarding file-write behavior, path resolution, or the non-core parameters (detail, templatePreset) that shape output size and structure.

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 40%, so the description must compensate but only partly does: it explains the conceptual outputs (MoSCoW priority, out-of-scope boundaries, Gherkin scenarios) that map to keyFeatures.priority, outOfScope, and gherkinScenarios. Parameters like detail, templatePreset, targetAudience, problemStatement, and tagline are not addressed at all by the description.

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+resource ("Generates an anti-hallucination Product Requirements Document (PRD.md)") and names the distinguishing content (MoSCoW, scope boundaries, Gherkin criteria), which differentiates it from siblings like generate_srs or generate_sdd. It stops short of explicitly naming the alternative generator tools, keeping it at 4.

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 no when-to-use, when-not, or alternative-routing guidance; nothing tells the agent why to pick this over generate_full_blueprint or generate_srs. The only usage-like instruction (asking where the project is) lives in the schema's outputPath field, not in the description.

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 behavioral burden. It does not disclose that the tool writes a file to disk (overwrite behavior, permission requirements), nor does it explain the effect of detail/templatePreset on output. For a file-generating tool with zero annotation coverage this is a significant gap.

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 efficient sentence that front-loads the core purpose and enumerates outputs without waste. It is appropriately sized but arguably too terse for the tool's 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?

With 7 parameters, nested objects, two enums, no output schema, and no annotations, the description is far too thin. It omits template presets, detail modes, tech stack input, and the fact that output is written to a path, leaving real gaps for an agent to fill.

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 only 29% across 7 parameters including nested objects. The description adds no parameter meaning at all – detail, templatePreset, techStack, and apiEndpoints are unexplained in prose, and the agent must rely on the partial schema descriptions (only detail and outputPath have them).

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 (Generates) and resource (SDD.md) and enumerates the artifacts produced (C4 diagrams, API contracts, sequence diagrams, ADRs). However, it does not distinguish itself from close siblings like generate_design_spec or generate_srs, so the agent cannot tell when this is the right choice over those.

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 when-to-use or when-not-to-use guidance, and no mention of alternatives such as generate_design_spec or generate_srs. The only usage signal is implicit in the artifact list.

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 the full behavioral burden, and it does disclose the substantive content produced (functional inputs/outputs, error conditions, latency SLAs, OWASP security constraints). However it never states that this is a file-write operation with overwrite semantics, nor how deterministic or costly generation is. Coverage is partial rather than absent.

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 with no filler, and the artifact name appears immediately. The trailing list of content types is dense but each item adds information; it only loses a point for becoming a run-on enumeration.

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 9-parameter tool with nested objects, enums, no annotations, and no output schema, the one-sentence description is far too thin. It omits what the tool actually emits (a file path vs. inline markdown), how the large optional blocks like techStack and nfr change the output, and what differing detail or preset values do.

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 only 22% across 9 parameters, including nested nfr and techStack objects and a templatePreset enum that are undocumented in the schema. The description alludes to SLA and security content (mapping loosely to nfr) but says nothing about techStack, outOfScope, keyFeatures structure, or the presets, so it fails to compensate for the coverage gap.

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 ('Generates') and a precise artifact ('Software Requirements Specification (SRS.md)') qualified by the ISO/IEC/IEEE 29148 standard, which cleanly separates it from generate_prd and generate_design_spec. It never explicitly contrasts itself with those siblings or states the boundary between an SRS and a PRD, so it stops short of a 5.

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 prerequisites, and no mention of the alternative document generators (generate_prd, generate_sdd, generate_erd) that a caller must choose between. The only signal is the implied 'use this when you need an SRS', leaving selection entirely 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?

No annotations are provided, so the description carries the full load. "Lists" correctly signals a read-only operation and the presets' nature, but it says nothing about whether the catalog is static or account-scoped, how many entries to expect, or the shape of each returned item (no output schema exists to cover this either).

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 with the verb first and the qualifiers after — efficient and easy to scan. Minor deduction for "production-grade," which reads as promotional filler rather than actionable specification.

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 zero-parameter, read-only listing tool with no output schema, the description gives enough to call it correctly: it says what is listed and gives example categories. It is only slightly short of complete in not hinting at the result shape or the follow-up action.

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 takes zero parameters, which is the baseline-4 case: there is no parameter semantics the description could reasonably be expected to explain beyond what the empty schema already communicates.

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 ("Lists") and resource ("architecture presets"), with concrete examples of the preset families (SaaS B2B, E-Commerce, AI Agent Platform) that make the resource tangible. It implicitly distinguishes itself from the generate_*/audit_* siblings by being the only enumeration tool, though it never names that contrast explicitly.

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 "available for rapid bootstrapping" implies the workflow context (inspect presets before generating a blueprint), but there is no explicit when-to-use, when-not-to-use, or pointer to the obvious next step such as generate_full_blueprint. The agent must infer the call ordering.

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