Skip to main content
Glama
doso

Specif-ai MCP Server

by doso

get-prds

Generate Product Requirement Documents (PRDs) by specifying the project directory, enabling structured documentation for Specif-ai MCP Server projects.

Instructions

Get Product Requirement Documents for this project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdYesAbsolute path where the tool is called from to auto-infer the project path. This path will be current working directory (cwd) from where the tool is called.
Behavior2/5

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

With no annotations, the description carries full burden but only states what the tool does, not how it behaves. It doesn't disclose if this is a read-only operation, what format the PRDs are returned in, whether it's paginated, or any error conditions. This is inadequate for a tool with no 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.

Conciseness5/5

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

The description is a single, efficient sentence with zero waste. It's front-loaded with the core purpose and appropriately sized for a simple tool, making it easy for an agent to parse quickly.

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?

Given no annotations and no output schema, the description is incomplete. It doesn't explain what 'Get' entails (e.g., list vs. retrieve content), the return format, or error handling. For a tool with siblings retrieving similar documents, more context is needed to guide proper selection and use.

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 schema fully documents the single parameter 'cwd'. The description adds no parameter-specific information beyond implying it's for 'this project', which aligns with the schema's auto-inference explanation. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the verb ('Get') and resource ('Product Requirement Documents'), specifying it's for 'this project'. However, it doesn't differentiate from sibling tools like get-brds or get-uirs that likely retrieve similar document types, missing explicit distinction.

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?

No guidance is provided on when to use this tool versus alternatives like get-brds or get-uirs. The description implies it's for the current project but doesn't specify prerequisites, exclusions, or comparison to siblings, leaving the agent to guess based on tool names alone.

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

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/doso/specif-ai-mcp-server-archive'

If you have feedback or need assistance with the MCP directory API, please join our Discord server