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Create Testimonial

create_testimonial

Create a customer testimonial in your Senja project by providing required customer name and type, plus optional text, video URL, rating, tags, and approval status.

Instructions

Create a new testimonial in your Senja project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoSource URL
dateNoDate in ISO 8601 format (e.g., 2024-01-15T00:00:00Z)
tagsNoTags to apply to the testimonial
textNoTestimonial text content
typeYesTestimonial type: text or video
titleNoTestimonial title/headline
ratingNoStar rating (1-5)
approvedNoWhether the testimonial is approved
video_urlNoVideo URL (for video testimonials)
integrationNoIntegration source identifier
customer_nameYesName of the customer
customer_emailNoCustomer email
customer_avatarNoCustomer avatar URL
customer_companyNoCustomer company name
customer_taglineNoCustomer tagline or job title
customer_websiteNoCustomer website URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

B3.4/5.0
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 only says 'create a new testimonial,' which indicates a write operation, but gives no information about side effects, idempotency, permissions, required fields beyond the schema, or what happens on creation. For a mutation tool with no annotation coverage, this is a meaningful gap.

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 a single, front-loaded sentence with no filler or repetition. It communicates the essential action and scope efficiently, which is appropriate for a tool whose parameter details are fully captured in the schema.

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 16 parameters, no annotations, and no output schema, this one-sentence description is not enough to fully orient an agent. It provides project context but omits behavioral expectations, creation semantics, and any guidance on required versus optional inputs beyond what the schema lists.

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 16 parameters with meaningful descriptions. The tool description adds no additional parameter context, which matches the baseline of 3 when the schema carries the semantic weight.

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 states a clear verb ('create') and resource ('testimonial'), and names the Senja project context. It is distinct from the sibling tools list_testimonials and get_testimonial, so an agent can tell create from read/list operations without opening the schema.

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 operation type (create) clearly implies this should be used when adding a new testimonial, while list_testimonials and get_testimonial are for reading. However, it lacks explicit guidance about when not to use it or how to choose among alternatives in ambiguous cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.