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create_gist

Create and share code snippets or text files on GitHub using the GitHub MCP Server. Specify files, descriptions, and privacy settings to generate a new gist.

Instructions

Create a new gist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesYesDictionary of filename to file content (e.g. {"hello.py": "print('hello')"})
descriptionNoGist description
publicNoWhether the gist is public

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. 'Create a new gist' implies a write operation, but it doesn't disclose behavioral traits like authentication requirements, rate limits, whether the gist is immediately available, or what happens on failure. This leaves significant gaps for an agent to understand the tool's behavior.

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, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to parse quickly.

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 that there's an output schema (which handles return values), no annotations, and 100% schema coverage, the description is minimally adequate. However, for a creation tool with no annotations, it should ideally provide more behavioral context (e.g., permissions, side effects) to be fully complete.

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 fully documents all parameters. The description adds no parameter semantics beyond what's in the schema, maintaining the baseline score of 3 where the schema does the heavy lifting.

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 clearly states the verb ('Create') and resource ('new gist'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'update_gist' or 'get_gist', but the action is specific enough to be unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'update_gist' or 'get_gist', nor does it mention prerequisites or context for creation. It's a bare statement of function without usage context.

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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