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tigergraph

tigergraph-mcp

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by tigergraph

tigergraph__drop_data_source

Deletes a specified data source from a TigerGraph graph. Use connection profile or graph name to target the correct environment.

Instructions

Drop (delete) a data source.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileNoConnection profile name. Omit to use the active default profile. Use 'list_connections' to see available profiles.
graph_nameNoName of the graph. If not provided, uses default connection.
data_source_nameYesName of the data source to drop.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.2

TDQS

C2.5/5.0
Behavior1/5

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

No annotations are provided, and the description does not disclose side effects, permanence, or any cascading behavior. The word 'delete' implies removal but gives no details about irreversibility or impact on dependent objects.

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?

The description is very short and to the point, with no unnecessary words. It front-loads the main action and object, making it easy to parse quickly.

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?

Given the lack of annotations and output schema, the description leaves out important context such as whether the operation is reversible, what happens if the data source does not exist, or any post-conditions. This makes it incomplete for an agent to rely on safely.

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 provides full descriptions for all three parameters (profile, graph_name, data_source_name), so the baseline of 3 is appropriate. The tool description adds no additional semantic information beyond the schema.

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 action ('Drop') and the object ('a data source'), and the parenthetical '(delete)' reinforces the meaning. It is distinct enough from sibling tools like drop_all_data_sources, though it could be more explicit about targeting a single data source.

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

Usage Guidelines1/5

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, when not to use it, or how it differs from related operations like drop_all_data_sources or drop_loading_job. There is no mention of prerequisites or context for calling this function.

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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