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awictor

flow-agent-mcp

by awictor

create_materialization

Publish a materialization to Estuary Flow by writing its spec to a temporary flow.yaml and running flowctl catalog publish --auto-approve.

Instructions

Publish a materialization. Writes the spec to a temporary flow.yaml and runs flowctl catalog publish --source flow.yaml --auto-approve.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoConnector image tagv1
nameYesMaterialization name, e.g. 'acmeCo/analytics/materialize-snowflake'
configYesEndpoint configuration
bindingsYesCollection-to-destination bindings
connectorYesConnector, e.g. 'materialize-snowflake'
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It reveals the exact implementation: writes a temporary flow.yaml and runs `flowctl catalog publish --source flow.yaml --auto-approve`, which implies an automated, approving publish. This adds meaningful context but omits side effects or failure behavior.

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, well-structured sentence with no fluff. It front-loads the action and provides a concrete implementation detail, making it efficient and easy to parse.

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

Completeness3/5

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

The description explains the publish mechanism but lacks context on prerequisites (e.g., flowctl and credentials), potential side effects on existing materializations, or expected return behavior. Given the absence of an output schema and the complexity of bindings, a bit more contextual guidance would be helpful, but the current description is not inadequate.

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% and all parameters have helpful descriptions (e.g., name format, bindings meaning). The description adds no additional parameter semantics, so the baseline of 3 applies.

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 tool 'Publish a materialization', using a specific verb and resource. It distinguishes from sibling tools like create_capture by naming the resource type, but does not explicitly contrast with alternatives.

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. The description explains the mechanism but not the use case context, prerequisites, or when not to use it, unlike the explicit alternative naming in higher-scoring examples.

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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