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shashwatgtm

CRAFT Content MCP Server

by shashwatgtm

testimonial_capture

Create testimonial request emails, interview questions, and formatted output templates to capture customer success stories for case studies.

Instructions

Generate testimonial request emails, interview questions, and formatted output templates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
use_caseYesUse case to highlight
your_nameNoYour name
your_companyYesYour company
customer_nameYesCustomer contact name
format_neededNoFormats: quote, video, case study
customer_companyYesCustomer company
relationship_contextNoRelationship context
Behavior2/5

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

No annotations are provided, so the description must disclose behavior, but it only states that it generates emails, questions, and templates. It doesn't explain how outputs are returned, whether any side effects occur, or how format_needed influences the result. This lack of behavioral context leaves the agent with significant unknowns.

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 sentence with no filler, directly stating the action and the three output types. It is appropriately front-loaded and every word earns its place.

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?

With 7 parameters, 4 required, and no output schema, the description should clarify the relationship between inputs and outputs, such as how format_needed changes the result or what the response structure looks like. It lacks this complete picture, making it insufficient for confident invocation in all cases.

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 coverage is 100% with descriptions for all 7 parameters, so the schema already handles parameter meaning. The tool description adds no extra parameter-level detail—it doesn't clarify how each parameter maps to the generated outputs—but the high schema coverage justifies the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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

The description uses the specific verb 'Generate' and clearly lists the deliverables: testimonial request emails, interview questions, and formatted output templates. This distinguishes it from sibling tools like case_study_generator or newsletter_builder, which focus on other content types.

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?

The name and description imply the tool is for testimonial capture, but there is no explicit guidance on when to use it versus alternatives. No mention of prerequisites, scenarios, or when not to use it, leaving usage partially implied.

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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