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run_prompt_completion

Execute prompt templates with variables to generate model responses, requiring billing metadata for cost attribution.

Instructions

Execute a prompt template with variables and get the model completion response. REQUIRES billing metadata (client_id, app, env).

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
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions billing requirements, which is useful context, but fails to describe critical behavioral traits: it doesn't specify whether this is a read-only or mutating operation (e.g., if it incurs costs or changes state), what the response format looks like (e.g., structured completion data), rate limits, error handling, or authentication needs. For a tool with no annotations, this leaves significant gaps in understanding its behavior.

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 extremely concise and front-loaded: it consists of two sentences that directly state the purpose and key requirement. There is zero waste, and every sentence earns its place by providing essential information without redundancy.

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 complexity (4 parameters, nested objects, no output schema, and no annotations), the description is incomplete. It lacks details on behavioral traits (e.g., cost implications, response format), doesn't explain the output (since no output schema exists), and provides minimal guidance beyond billing requirements. For a tool that likely involves AI model interactions and billing, more context is needed for effective use.

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 thoroughly. The description adds minimal value beyond the schema: it emphasizes that billing metadata is 'REQUIRED,' which is already clear from the schema's required fields. It doesn't provide additional semantic context, such as examples of variable substitution or hyperparameter effects, but with high schema coverage, 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Execute a prompt template with variables and get the model completion response.' This specifies the verb (execute), resource (prompt template), and outcome (get completion response). However, it doesn't explicitly differentiate from sibling tools like 'render_prompt' or 'validate_completion_metadata', which might have overlapping functionality.

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 for usage: 'REQUIRES billing metadata (client_id, app, env).' This indicates prerequisites and when the tool is applicable (when billing attribution is needed). However, it doesn't specify when to use this tool versus alternatives like 'render_prompt' (which might render without execution) or other completion-related tools, nor does it mention exclusions.

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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