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853046310

Qingflow MCP (CRUD)

by 853046310

Qingflow Canonical Query Record

qf.query.record
Read-onlyIdempotent

Retrieve one record from a Qingflow plan using a canonical DSL query. Requires plan ID, apply ID, and select fields to return a query handle.

Instructions

Fetch one record through the canonical DSL and return a query handle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
plan_idYes
queryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
dataYes
metaNo
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint. Description adds that it returns a query handle rather than the record directly, which is useful. However, no other behavioral traits (e.g., effect on system, pagination) are disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with action and resource. It is concise but could be more informative without losing brevity. No wasted words.

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?

Despite output schema and annotations, the description lacks details about the canonical DSL, query handle semantics, and parameter usage. For a tool with nested parameters, more guidance is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any parameter (plan_id, query object). Agents cannot understand what plan_id expects or how to structure the query. This is a critical gap.

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 it fetches one record via 'canonical DSL' and returns a query handle. While it distinguishes from sibling tools like qf.query.rows (bulk fetch) and qf.query.aggregate (aggregation), it does not explicitly contrast them.

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 on when to use or avoid this tool. No mention of alternatives or prerequisites. The description only states what it does, not when to choose it over siblings like qf.query.rows for multiple records.

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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