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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not state whether a query is required, what the response looks like, or any side effects. The term 'template' hints at the output but does not clarify behavior such as whether it returns raw text, lists available languages, or handles errors. This is a significant gap for a tool with zero annotation support.

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?

The description is a single sentence, concise and front-loaded with the tool name and purpose. There is no filler or redundant information. It could be slightly more explicit, but it is appropriately sized for a simple tool.

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 tool with one optional parameter and an output schema (which is not shown but exists), the description is adequate but minimal. It clarifies the primary function but omits details like whether it returns the raw template, error behavior, or how to interpret the output. Given the tool's simplicity, the lack of detail is notable but not fatal; a score of 3 reflects that the description is minimally viable but has clear gaps.

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?

Schema description coverage is 0%, so the description must compensate. The phrase 'for a language' implies that the single parameter 'q' represents the language name, adding meaning beyond the bare schema. However, it does not specify the expected format (e.g., lowercase, full name vs. extension) or whether an empty query returns a list of options. It partially fills the gap but leaves ambiguity.

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 states the tool provides a GitHub .gitignore template for a language, which is a clear purpose. It is not a tautology (does not just restate the name) and the resource (template) and scope (per language) are specified. However, it does not explicitly state the action (e.g., fetch, retrieve) or clearly distinguish from siblings, though none are directly related to gitignore.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, expected use cases, or exclusions. The description simply states what it is without context, leaving the agent to infer when it might be appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.