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generate_project_guidelines

Generates a structured project guidelines document from a specified tech stack, using web search to incorporate current best practices and official documentation.

Instructions

Generates a structured project guidelines document (e.g., Markdown) based on a specified list of technologies and versions (tech stack). Uses web search to find the latest official documentation, style guides, and best practices for each component and synthesizes them into actionable rules and recommendations. Uses the configured Vertex AI model (gemini-2.5-pro) with Google Search. Requires 'tech_stack'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tech_stackYesAn array of strings specifying the project's technologies and versions (e.g., ['React 18.3', 'TypeScript 5.2', 'Node.js 20.10', 'Express 5.0', 'PostgreSQL 16.1']).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses that web search and the Vertex AI model (gemini-2.5-pro) are used, and that it synthesizes information. It does not mention potential latency or cost, but the key behavior is adequately described with no contradictions.

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 description is reasonably concise, but it repeats 'Uses' twice and includes some redundancy (e.g., 'Uses the configured Vertex AI model (gemini-2.5-pro) with Google Search' could be trimmed). Still, it is direct and not overly verbose.

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?

There is no output schema, so the description must hint at the return value. It states that the output is a 'structured project guidelines document (e.g., Markdown)' containing 'actionable rules and recommendations,' which gives a sufficient mental model for the agent. Format details are not exhaustive but are adequate.

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

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already fully describes 'tech_stack' as an array of strings, so the baseline is 3. The description adds meaningful context by clarifying that it is a list of technologies and versions, provides an example, and states that it is required. This elevates it above mere schema repetition.

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?

The description clearly states the tool's function: generating a structured project guidelines document based on a specified tech stack. It uses a specific verb ('Generates') and a specific resource ('project guidelines document'), and it is distinct from sibling tools like technical comparison or code analysis.

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

Usage Guidelines3/5

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

The description implies when to use the tool (when guidelines are needed for a tech stack) but does not explicitly contrast it with sibling tools or state when not to use it. No alternative tool is named, leaving the choice to the agent's inference.

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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