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sam170203

Personal GitHub MCP

by sam170203

publish_euler_solution

Publish a Project Euler solution with auto-generated README. Detects the problem details, generates documentation, uploads to your GitHub repository, and returns the URL.

Instructions

Publish a Project Euler solution with an auto-generated README.

Detects the problem in the current directory (or path), infers the problem number, language and source file, generates a README.md, then uploads the solution and README to your Euler repository and returns the GitHub URL.

Args: path: optional directory containing the problem (defaults to the current working directory). commit_message: optional commit message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNo
commit_messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 transparency burden. It discloses the side effect (uploading to the Euler repository) and the return value (GitHub URL), but it omits potential failure modes, permission requirements, and whether an existing README will be overwritten.

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 compact and front-loaded with the primary action. The Args list is clear and adds value without redundancy. Every sentence earns its place.

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?

The description explains the workflow and return value, but it lacks important context such as prerequisites (e.g., existing repository, valid Project Euler problem structure) and error cases (e.g., what happens if problem detection fails). Given no annotations, this leaves the tool less complete for an agent to operate safely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must explain both parameters. It does so in the Args section, noting the default for path. However, commit_message is only described as 'optional commit message' without indicating its default or effect, which leaves some ambiguity.

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: 'Publish a Project Euler solution with an auto-generated README.' It enumerates the full pipeline (detect problem, infer metadata, generate README, upload, return URL), which is specific and differentiates it from siblings like upload_euler_solution.

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 description provides clear context for when to use the tool: it operates on the current directory or a specified path, and it auto-generates a README. However, it does not explicitly contrast with alternatives such as upload_euler_solution, nor does it state when not to use it.

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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