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generate_full_blueprint

Generates a synchronized engineering blueprint suite—PRD, SRS, ERD, SDD, design spec, traceability matrix, and agent instructions—as Markdown so agents build from written specs instead of guessing.

Instructions

Generates the entire synchronized, anti-hallucination engineering blueprint suite (PRD, SRS, ERD, SDD, DESIGN, Traceability Matrix, and Agent Instructions) as production-grade Markdown files.

Input Schema

NameRequiredDescriptionDefault
nfrNo
detailNolite: core contract only, no diagrams, glossary, risk tables, or fixtures (about 25% fewer tokens). full (default): everything.
taglineNoShort punchy tagline
entitiesNo
outputDirNoFolder to save the 7 .md files, for example D:\\projects\\my-app\\docs. Preferred: the reply stays short. Relative paths are resolved from the workspace root the editor reports, otherwise from the server's working directory, which may not be the user's project. Prefer the full path of the user's project folder. If the user has not said where the project is, ask before calling. Folders inside the starter-doc-mcp install are rejected.
techStackNo
uiScreensNo
outOfScopeNoStrict out-of-scope boundaries to prevent AI agent scope creep
descriptionYesComprehensive description of what the application does
keyFeaturesNo
projectNameYesName of the project or application
apiEndpointsNo
includeContentNoOnly when outputDir is omitted: return all 7 documents in the reply (large, about 12k tokens). Default false.
targetAudienceNoTarget user personas and operators
templatePresetNoIndustry architecture template to inherit defaults from
problemStatementNoExact problem space and pain points being solved

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.1

TDQS

C2.7/5.0
Behavior2/5

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.

Conciseness4/5

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.

Completeness2/5

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.

Parameters2/5

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.

Purpose4/5

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.

Usage Guidelines2/5

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.