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cookieark7

DevVault MCP

by cookieark7

Seed dummy data

seed_dummy

Populate empty DevVault tables with dummy rows (valid IDs, timestamps) attached to existing users for testing.

Instructions

Insert dummy rows (with valid cuid ids + timestamps) into snippets/bookmarks/notes/commands/prompts, attached to existing users. Great for filling the empty prompts/commands tables. Returns how many rows were inserted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
userIdNoAttach everything to this user id. Default: spread across all users.
promptsNo
commandsNo
snippetsNo
bookmarksNo
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that it inserts rows, uses valid cuid ids and timestamps, attaches to existing users, and returns the number of rows inserted. This gives the agent a solid understanding of side effects, though it could have mentioned edge cases like what happens if no users exist.

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 only two sentences long, gets straight to the point, and uses no fluffy language. Every word adds value, making it easy for the agent to parse quickly.

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?

For a seeding tool with no output schema and no annotations, the description covers the essential aspects: purpose, attachment behavior, and return value. It doesn't address idempotency or validation, but those may not be critical for a dummy data seeder in this context.

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 low (17%, only userId has a description). The description partially compensates by listing the target tables ('snippets/bookmarks/notes/commands/prompts') that match the parameter names, implying each parameter is a count. However, it doesn't explicitly state that the integer values represent row counts per table, leaving some ambiguity for the agent.

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 uses the specific verb 'Insert' and enumerates the exact resources ('snippets/bookmarks/notes/commands/prompts'), clearly defining what the tool does. It differentiates itself from siblings like run_query and db_info by focusing on populating tables with dummy data. The title and description align perfectly.

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 phrase 'Great for filling the empty prompts/commands tables' provides a concrete scenario for when to use the tool. It doesn't explicitly mention alternatives, but the sibling tools are distinct enough that the intended usage is clear without further explanation.

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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