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apply_template

Apply a prompt template with a given subject to produce a ready-to-use prompt.

Instructions

Apply a prompt template with a subject to generate a ready-to-use prompt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subjectYesThe subject to fill into the template (e.g., 'wireless headphones', 'coffee shop')
template_nameYesName of the template (e.g., 'product_hero', 'instagram_post'). Use list_templates() to see all.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden. It only states the output ('ready-to-use prompt') but does not disclose any behavioral traits such as side effects, required permissions, or whether the template is modified.

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 a single, clear sentence with no extraneous words. It front-loads the action and outcome, though it could benefit from slightly more detail.

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 simple two-parameter tool with existing output schema, the description is adequate but minimal. It does not explain how templates work or that template_name should be obtained from list_templates, though this is hinted in the schema.

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% and the parameter descriptions are already detailed with examples and references. The tool description adds no additional meaning beyond what the schema provides.

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 applies a prompt template with a subject to generate a prompt. The verb 'apply' and the resources 'template' and 'subject' are specific. However, it does not differentiate from siblings like list_templates or optimize_prompt.

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 explicit guidance on when to use this tool versus alternatives. There is no mention of prerequisites, when not to use, or references to sibling tools that might provide related functionality.

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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