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testimonial_request

Write a personal email asking a client for a testimonial after project completion. Input project summary and client name to generate a genuine, specific request that gets responses.

Instructions

Write a short, personal email asking a client for a testimonial after successful project delivery. Not a form, not a survey link — a genuine, specific ask that gets responses. Does not count against your monthly draft limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_nameYesThe client's first name
project_summaryYesBrief description of what you delivered (e.g. 'the Shopify redesign', 'the API integration project')
specific_winNoOptional: a concrete result or outcome from the project (e.g. 'the site launched on time and conversion rate is up 18%'). Makes the ask more personal and specific.
your_nameNoOptional: your name for the sign-off
where_to_postNoOptional: where you'd like the testimonial posted (e.g. 'LinkedIn', 'your website', 'Google'). Leave blank to keep it open.
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It reveals that the tool does not count against draft limits, but it does not clarify whether the email is sent, drafted, or returned as output. This omission leaves the agent uncertain about side effects.

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?

Three sentences that are front-loaded with the core purpose, followed by a contrast and a unique behavioral trait. No redundant or extraneous text.

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 absence of an output schema and annotations, the description should explain what happens after invocation (e.g., draft generated, sent). It fails to do so, leaving a gap in completeness. However, it covers the tool's intent and key differentiator well.

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%, so the baseline is 3. The description adds minimal value beyond the schema, only briefly mentioning optional fields. No additional constraints or examples are provided.

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 clearly states the tool's purpose: write a personal email asking for a testimonial after successful project delivery. It distinguishes from siblings like 'testimonial_follow_up_email' by emphasizing it is a genuine, specific ask, not a form or survey link.

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?

Specifies when to use ('after successful project delivery') and contrasts with alternatives ('not a form, not a survey link'). However, it does not explicitly list exclusions or alternative tools by 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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