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query_url

Generate a Looker Explore URL with pre-populated query parameters to directly open the Explore UI.

Instructions

Generate a URL to a Looker Explore with pre-populated query parameters. The URL opens the Explore UI in Looker.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYesLookML model name
viewYesExplore/view name
fieldsYesFields to select
filtersNoFilter expressions
sortsNoSort expressions
dev_modeNoGenerate the URL against dev-workspace LookML. Implied when ``branch`` is set.
branchNoProject branch to atomically swap to for this call. Requires project_id.
project_idNoLookML project ID — required with ``branch``
act_as_userNoOptional Looker user ID or email to impersonate for this call. Use to operate on another user's dev workspace (Looker dev mode is per-user-isolated) or to run as a dedicated CI service user. Requires sudo capability on the configured admin credentials. When omitted, the call uses the configured or gateway-provided identity.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden but only states it generates a URL that opens the Explore UI. It does not disclose if the URL expires, authentication requirements, or any side effects. However, it is not misleading and basic behavior is clear.

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 two sentences with no wasted words. The first sentence immediately conveys the core function, and the second confirms the result. It is appropriately sized for the tool's simplicity.

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?

Given the tool has 9 parameters and an output schema, the description is minimal. It lacks details like URL validity duration, authentication context, or how the URL relates to dev_mode or act_as_user. The output schema may clarify return values, but the description could provide more operational context.

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 description coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond 'pre-populated query parameters', which is generic. The parameter details are already well-documented in the schema.

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 generates a URL to a Looker Explore with pre-populated query parameters, distinguishing it from other tools like generate_embed_url. It uses a specific verb ('Generate') and resource ('Looker Explore'), making the purpose unambiguous.

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 is provided on when to use this tool versus alternatives such as run_query or generate_embed_url. The description does not mention context, prerequisites, or scenarios where this tool is preferred.

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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