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Gaells

technical-impact-analyst

by Gaells

generate_client_report

Generate client-facing reports that translate technical contributions into business value, with executive summary, delivery impact, and period metrics for non-technical stakeholders.

Instructions

Generate a client-facing delivery report translating technical contributions into business value.

Designed for freelancers, MEI, and consultants who need to communicate value to non-technical stakeholders.

Returns a formatted Markdown report with:

  • Executive summary

  • Deliveries table with business impact

  • Impact highlights

  • Period metrics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoOptional repository filter.
sinceNoStart date (ISO format). Defaults to 30 days ago.
untilNoEnd date (ISO format). Defaults to today.
usernameNoGitHub username.
client_nameNoOptional client name for the report header.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the output format (Markdown report with specific sections) but does not mention data sources, authentication requirements, or whether it performs any side effects. For a report generator, the output description adds value, but more transparency would be beneficial.

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 well-structured with a clear opening sentence, a targeted audience note, and a bulleted list of output sections. Every sentence adds value and the content is front-loaded, making it easy to scan.

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?

For a report generation tool with 5 optional parameters, no annotations, and an output schema, the description covers the purpose, audience, and output structure. It lacks explicit mention of data dependencies but is otherwise complete for a tool of this complexity.

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?

The input schema already provides 100% description coverage for all parameters (repo, since, until, username, client_name) with clear defaults and formats. The tool description adds no additional meaning beyond the schema, so a baseline of 3 is appropriate.

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 generates a client-facing delivery report that translates technical contributions into business value, using a specific verb and resource. It distinguishes itself from sibling tools by emphasizing the audience (non-technical stakeholders) and the output format (Markdown with sections).

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?

It identifies the target users (freelancers, MEI, consultants) and the scenario (communicating value to non-technical stakeholders), providing clear usage context. It does not explicitly name alternatives or exclusions, but the intended use case is clear.

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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