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Get Templates

get_templates

List available analysis templates.

Templates are pre-configured analysis scenarios for common use cases:

  • Email outreach optimization

  • LinkedIn post analysis

  • Sales pitch review

  • Content marketing assessment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoSearch templates by name or description
categoryNoFilter by template category (e.g., "email", "social", "sales")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the burden, and it does establish that this is a non-mutating list operation and clarifies what a template is. It does not disclose behavior such as whether filtering is applied by default, any pagination, or that it does not run/execute a template.

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 purpose is front-loaded in the first sentence, and the bulleted use-case examples are compact and relevant. There is no redundancy or filler.

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 a simple list operation with no required parameters, fully documented parameters, and an output schema present, the description supplies enough domain context to select the tool. Minor gaps around sibling routing and behavior details are covered by the other dimensions.

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 both search and category are already documented in the schema. The description adds domain context about template use cases but does not elaborate on parameter meaning beyond the schema.

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 identifies the action ('List') and resource ('available analysis templates'), and the follow-up definition of templates distinguishes it from direct-analysis tools like analyze_content. However, it does not explicitly differentiate listing from the sibling get_template_details or the executing sibling execute_template.

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 given about when to call get_templates versus alternatives such as get_template_details or execute_template. The description states what the tool returns but provides no conditions, exclusions, or routing cues.

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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