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getUserMeta

Read-onlyIdempotent

Retrieve a single user metadata record by its meta_id. Used to verify the metadata row before performing updates or deletions.

Instructions

Get a single metadata record - Fetch a single usermeta record. Read-only.

Use when: fetching one metadata row by meta_id.

Required: meta_id.

Identity check before downstream writes: Before using this row's meta_id for any subsequent updateUserMeta/deleteUserMeta call, confirm the response's database and database_id fields BOTH match the parent record you intend to modify. The same database_id can exist across unrelated parent tables (users_data, list_seo, subscription_types, data_posts, etc.) - blindly passing a meta_id forward without verifying its (database, database_id) pair can silently corrupt or destroy data on an unrelated table. Optional database and database_id query params are accepted for documentation/intent — the actual verification is agent-side (compare message[0].database / message[0].database_id to what you expected before acting).

See also: listUserMeta (enumerate many).

Returns: { status: "success", message: [{...record}] } - the message array contains 1 record when found. Empty or HTTP 404 when not found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meta_idYes
databaseNoOPTIONAL — your expected parent table name (e.g. `list_seo`). Accepted for intent documentation; verification is agent-side (compare `message[0].database` in the response). Recommended on any `getUserMeta` preceding a write to the users_meta table.
database_idNoOPTIONAL — your expected parent record PK. Same intent-documentation convention as `database`. Agent-side verification: compare `message[0].database_id` before acting on the row.
Behavior5/5

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

Beyond annotations (readOnlyHint, etc.), the description discloses critical behavioral traits: the need for agent-side verification of (database, database_id) pairs to prevent silent data corruption. No contradictions.

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?

Well-structured with sections, front-loaded with purpose. Slightly verbose due to safety warnings, but every sentence is justified; could tighten slightly.

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

Completeness5/5

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

Fully complete given no output schema: covers purpose, parameters, usage guidelines, safety warnings, and return format. No gaps.

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

Parameters5/5

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

Adds significant meaning beyond the input schema: explains the optional params as intent documentation and the agent-side verification procedure, complementing the 67% schema coverage.

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 fetches a single metadata record by meta_id, differentiating it from listUserMeta for enumeration.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use when: fetching one metadata row by meta_id' and provides detailed safety verification steps to avoid data corruption. Also references sibling tool listUserMeta.

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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