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IA-QA — 152 QA & Dev Tools for AI Agents

prompt_template_fill

Read-onlyIdempotent

Fill a prompt template with variables. Supports {{variable}} syntax and {{#if key}}...{{/if}} conditional blocks. Returns the filled prompt and lists unfilled variables.

Input Schema

NameRequiredDescriptionDefault
strictNoThrow error if any variable is not provided (default: false)
templateYesPrompt template with {{variable}} placeholders
variablesNoKey-value pairs to fill (e.g. {"name":"Alice","role":"engineer"})

Output Schema

NameRequiredDescriptionDefault
resultNo
total_varsNo
filled_variablesNo
unfilled_variablesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "template": "Hi {{name}}",
      +    "variables": {
      +      "name": "A"
      +    }
      +  }
      +]
  2. Changed1 schema field changed
    • addedOutput schema / properties
      Added value: +{
      +  "filled_variables": {},
      +  "result": {},
      +  "total_vars": {},
      +  "unfilled_variables": {}
      +}
  3. Changed1 schema field changed
    • addedInput schema / properties / variables / additionalProperties
      Added value: +true
  4. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "type": "object"
      +}
  5. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint, and openWorldHint. The description adds that it supports {{variable}} and {{#if}} syntax and returns both the filled prompt and unfilled variables, which is useful behavioral context beyond annotations. No contradictions.

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?

Two sentences: first states purpose, second adds syntax and return details. Front-loaded, no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values needn't be detailed, yet the description mentions them briefly. For a simple 3-parameter tool with annotations and full schema coverage, the description provides enough context to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all parameters, so baseline is 3. The description adds conditional block syntax for the template parameter, which is not in the schema, and mentions the return of unfilled variables—extra meaning that justifies a bump.

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?

States a specific verb (Fill) and resource (prompt template) with scope (with variables). It doesn't explicitly differentiate from similar siblings like build_rag_prompt or system_prompt_builder, but the core action is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies usage for template filling but offers no explicit when-to-use or when-to-prefer-alternatives guidance. No mention of prerequisites or exclusions, leaving context inferred from the function name.

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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