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Seed MCP Server

by burgeonbot

seed_create_table

Define a new Seed table with custom fields and optional relationships, enabling structured data storage through the Seed backend API.

Instructions

Create a Seed table with fields and optional relationships.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesMachine name for the table.
labelNoHuman-readable table label. Defaults to the table name.
fieldsYesFields to create on the table.
relationsNoRelationships to create with the table.
descriptionNoTable description.
Behavior2/5

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. It only states the action without mentioning side effects, permission requirements, error behavior, or what the response contains—significant gaps for a mutation tool.

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, front-loaded sentence with no wasted words. It clearly communicates the action and key components in an efficient manner.

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?

The tool has 5 parameters, no output schema, and no annotations. The description does not explain what the agent should expect after creation (e.g., return value, success/failure behavior), leaving a significant gap for an AI agent to select and invoke the tool correctly.

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?

The input schema has 100% parameter description coverage, so the baseline is 3. The description mentions 'fields' and 'optional relationships,' which maps to the schema's fields and relations properties, but adds no extra semantic detail beyond what the schema already provides.

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: to create a Seed table, specifying that it includes fields and optional relationships. This distinguishes it from sibling creation tools like seed_create_frame or seed_create_org by explicitly naming the resource type.

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 given on when to use this tool versus alternatives, such as seed_add_relationship for existing tables or other create tools. The description implies usage for new table creation but lacks explicit context, preconditions, or exclusions.

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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