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full_analysis

Run a complete project analysis pipeline covering features, stack, architecture, database, security, cost, estimation, and roadmap to produce a GO/NO-GO verdict.

Instructions

COMPLETE closed-loop analysis pipeline. Runs ALL tools in sequence: Project Analysis → Features → Stack → Architecture → Database → Security → Cost → Estimation → Roadmap → Boilerplate. Produces a comprehensive report with GO/NO-GO verdict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProject name
scaleYesProject scale
budgetNoBudget range
featuresNoFeature keywords (e.g., ["chat", "AI", "mobile"]). Auto-detected from description if not provided.
team_sizeNoTeam size (default: 3)
descriptionYesDetailed project description
project_typeYesProject type
deployment_envNoDeployment environment
target_devicesNoTarget devices
concurrent_usersNoExpected concurrent users
max_server_ram_gbNoMax server RAM in GB
network_conditionNoNetwork condition
max_monthly_cost_usdNoMonthly budget cap in USD
max_response_time_msNoMax response time in ms
Install Server

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the disclosure burden and does disclose the key behavior: it invokes many tools in a defined sequence and returns a comprehensive report with a verdict. It does not mention potential runtime, partial failure behavior, or side effects, but the core orchestration trait is clear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no wasted words. The orchestration nature is front-loaded with 'COMPLETE closed-loop analysis pipeline,' and the second sentence efficiently enumerates the sequence and the final output.

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

Completeness4/5

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

Given the tool's complexity and the absence of an output schema, the description adequately covers what the tool does, the full sequence of stages, and the final deliverable. It lacks details like expected runtime or whether intermediate results are available, but it is sufficient for an agent to decide to invoke it and understand the high-level outcome.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

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 parameter-specific guidance beyond framing the tool as a pipeline; it does not explain how inputs like name, description, project_type, or scale feed into the sequence, but it does not need to because the schema already documents each parameter.

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

Purpose5/5

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

States a clear verb-resource pair: it 'Runs ALL tools in sequence' and 'Produces a comprehensive report with GO/NO-GO verdict.' This distinguishes it from the many individual sibling tools by positioning it as the orchestration/umbrella tool, not a single analysis step.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly signals this is the full end-to-end pipeline to use when all analysis stages are needed, especially via 'COMPLETE closed-loop analysis pipeline' and the enumerated sequence. It does not explicitly state when to prefer individual sibling tools, but the contrast is strongly implied by listing the sub-steps.

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

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