Skip to main content
Glama

create_import_set_row

Insert a row into a ServiceNow Import Set staging table for later transformation. Provide the existing staging table name and the row data as key-value pairs.

Instructions

Insert a row into an Import Set staging table for later transformation (requires WRITE_ENABLED=true)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesKey-value pairs for the staging table row
staging_tableYesStaging table name (e.g. "u_import_incident"). Must already exist.
Behavior3/5

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

Annotations already indicate readOnlyHint=false and destructiveHint=false. The description adds the WRITE_ENABLED=true requirement and clarifies the row is staged for later transformation, which is useful. However, it does not disclose return values, error behavior, or validation details, so it provides only moderate additional transparency.

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 redundant wording. It states the core action, the target, the purpose, and a necessary requirement in one concise line.

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 covers the essential purpose and a prerequisite. However, it does not mention what the tool returns (e.g., the created row's sys_id), which is notable since there is no output schema. Error behavior and how the data parameter maps to columns are also not addressed, leaving some gaps for a simple tool.

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 coverage is 100%, with both parameters described adequately (staging_table has an example and a constraint; data is described as 'Key-value pairs'). The description adds no extra parameter semantics, but since the schema carries the burden, a baseline score of 3 is appropriate.

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 action ('Insert'), the target ('an Import Set staging table'), and the purpose ('for later transformation'), distinguishing it from generic record creation tools like create_record. It is specific and unambiguous.

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 clear context: the row is inserted for later transformation, implying it is a preparatory step before running a transform map. It also states a required prerequisite (WRITE_ENABLED=true). It does not explicitly mention alternatives or when not to use it, but the context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aartiq/servicenow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server