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GTech Networks DB: get complete context bundle for one user query

get_context_for_query

Resolves relevant database tables for a user query and returns schema, workflows, relationships, and execution rules to provide all required context for the next reasoning step.

Instructions

[GTech / Hexagon HxGN NetWorks Core (G/Technology) database only] Only call this for requests already confirmed to concern the GTech/NetWorks Core database. This is a one-shot context pack for an agent: it resolves relevant tables and returns the required docs (schema/workflow/relationships/patterns/glossary) plus hard rules and execution order so the next reasoning step has all required context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax tables to recommend, default 8
queryYesThe user's request, in their own words
include_full_docsNoIf true (default), include full docs; if false, include summaries only
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that the tool resolves tables and returns docs plus rules, but does not mention behavioral traits such as potential latency, side effects, or whether it is a pure read operation. Some guidance is present but not comprehensive.

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 paragraph, front-loaded with the usage constraint. Every sentence adds value: it specifies database context, purpose as one-shot context pack, and what it returns. No redundant information.

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?

Given the tool's complexity and the sibling tools, the description is fairly complete. It explains what it does, when to use, and what it returns. However, there is no output schema, and the description could be slightly more explicit about the structure of the returned context pack.

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%, so the schema already documents all parameters. The description does not add significant meaning beyond the schema, e.g., it mentions resolving tables but does not explain how parameters like 'limit' or 'include_full_docs' affect the result.

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 specific verb 'get context bundle' and resource 'one-shot context pack for an agent', and distinguishes from siblings like 'get_table_schema' or 'resolve_tables_for_query' by indicating it returns a comprehensive set of docs including schema, workflows, and rules.

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 explicitly states when to use: 'Only call this for requests already confirmed to concern the GTech/NetWorks Core database'. It implies it is a preparatory step, but does not explicitly state when not to use or compare directly to alternatives.

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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