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run_prompt_completion

Read-only

Execute a prompt template with variable substitution and required billing metadata to return a model completion. Use render_prompt first to verify the template before making this billable call.

Instructions

Execute a prompt against the configured model and return the completion. This makes a billable model call, so use render_prompt first when you want to check the template and validate_completion_metadata when billing fields are uncertain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prompt_idYesPrompt ID or slug to execute
variablesYesVariable values to substitute into the template
metadataYesBilling metadata - client_id, app, env are REQUIRED for cost attribution
hyperparametersNoOverride default hyperparameters

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded and returned structured data
dataNoStructured success payload when ok is true
errorNoStructured error payload when ok is false
Behavior4/5

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

Annotations already set readOnlyHint=true, and the description adds that it makes a billable model call, which is beyond what annotations provide. However, it doesn't disclose failure modes, rate limits, or other behavioral details. No contradiction with annotations.

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. It front-loads the primary action and follows with critical usage guidance, making it efficient and scannable.

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 (4 parameters, nested objects, output schema present), the description covers purpose and usage guidance well. It does not explain return format, but an output schema exists, so this is acceptable.

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 schema already documents all parameters. The description does not add additional meaning beyond what's in the schema, so it meets the baseline of 3.

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 executes a prompt against the configured model and returns the completion. It uses a specific verb 'execute' and resource 'prompt', and distinguishes from siblings like render_prompt and validate_completion_metadata.

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?

The description explicitly advises when to use alternative tools: 'use render_prompt first when you want to check the template' and 'validate_completion_metadata when billing fields are uncertain.' It also notes the tool makes a billable call, indicating cost implications.

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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