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awictor

flow-agent-mcp

by awictor

read_collection

Read documents from a collection to verify data is landing. Returns all currently available documents and exits.

Instructions

Read documents from a collection to verify data is landing. Wraps flowctl collections read --collection <name>, which is non-blocking: it outputs everything currently available and exits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax documents to return
sinceNoOnly read documents from this far in the past. Omit to read from the beginning.
collectionYesFull collection name
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 the key behavior: non-blocking, outputs everything currently available, and exits. This is sufficient for a simple read operation, though it does not mention permissions or return format details.

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 two sentences: the first states purpose, the second explains the underlying command and behavior. Every sentence contributes value without redundancy.

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 straightforward read tool with a complete schema and no output schema, the description covers purpose, behavior, and underlying command. It lacks explicit return format details, but that is not critical for this use case.

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 covers 100% of parameters with clear descriptions, so the baseline is 3. The description does not add extra meaning beyond the schema; it only references the collection in context of reading documents.

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 reads documents from a collection with a specific purpose: verifying data is landing. It uses a specific verb and resource, and distinguishes itself from sibling tools focused on task management and creation.

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 description provides a clear use case ('to verify data is landing') and explicitly notes the non-blocking behavior, which guides when to use it. However, it does not explicitly name alternative tools or state when not to use it, though the sibling list makes that less necessary.

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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