check_update
Check GitHub for a newer release of the software. Determine if an update is available for the current version.
Instructions
Check if a newer version is available on GitHub.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check GitHub for a newer release of the software. Determine if an update is available for the current version.
Check if a newer version is available on GitHub.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden of behavioral disclosure. It conveys that this is a check rather than a mutation, but it does not disclose whether it makes a network call, what it returns, how 'newer' is determined, or any auth/rate-limit implications.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence that is front-loaded with the action and target. There is no wasted wording or redundant restatement of the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple zero-parameter check, this minimal description is mostly sufficient for invocation. However, with no output schema, the description leaves the return value and success/failure semantics to inference, which is a notable gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema coverage is effectively 100%, so the baseline of 4 applies. No parameter documentation is needed because there is nothing to configure.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('check') and resource ('if a newer version is available on GitHub'), making the tool's purpose immediately clear. It semantically differs from mutation siblings like update and do_update, but it does not explicitly call out that distinction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus update/do_update, nor does it state prerequisites or exclusions. The intended context is loosely implied, but no explicit routing is provided.
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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