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seedfast-ai

Seedfast MCP Server

Official

seedfast_connections_test

Probes a PostgreSQL DSN for reachability with a connection pool ping and returns success or failure. Use before planning or running seeding to catch bad credentials or firewall issues.

Instructions

Probes a PostgreSQL database for reachability by opening a connection pool and issuing a ping with a 10-second timeout. Returns a short text line stating success or failure for the supplied DSN (credentials are masked in the output). Use this before seedfast_plan or seedfast_run to catch bad DSNs, firewall issues, or wrong credentials without incurring a planning or seeding round-trip. Does not require SEEDFAST_API_KEY. Next: on success, call seedfast_plan to preview a seeding plan or seedfast_run to execute one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dsnYesPostgreSQL connection string (e.g., postgres://user:pass@host:5432/db). Credentials are masked in log/response output.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.6.4

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does so thoroughly: opening a connection pool, issuing a ping, the 10-second timeout, the short text output format, credential masking, and no API key requirement. This gives an agent a complete picture of what will happen and what is safe to expect.

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 compact and every sentence earns its place: behavior first, output next, use-case next, auth note, then onward guidance. No filler or repeated schema content.

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

Completeness5/5

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

For a simple one-parameter probe tool with no output schema and no annotations, this description is complete: it defines purpose, behavior, output, timeout, credentials, authentication requirements, and the next recommended actions. Nothing an agent needs to invoke it correctly is missing.

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 coverage is 100% and the dsn parameter is already well described with a format example. The description adds a small amount of value by referring to 'the supplied DSN' and noting credentials are masked, but it does not need to compensate for schema gaps.

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 states a specific verb ('Probes'), a concrete resource (PostgreSQL database via DSN), and the mechanism (connection pool + ping with 10-second timeout). It also differentiates from siblings by naming seedfast_plan and seedfast_run as subsequent tools, making the tool's role in the workflow unmistakable.

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

Usage Guidelines5/5

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

Explicitly says to use this tool before seedfast_plan or seedfast_run to catch bad DSNs, firewall issues, and wrong credentials without paying for a planning or seeding round-trip. It also states that SEEDFAST_API_KEY is not required, giving clear authorization context.

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