copilot_chat

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'Chats with GitHub Copilot AI models' but doesn't mention any behavioral traits such as rate limits, authentication requirements, response formats, or potential side effects (e.g., whether it's read-only or can modify data). This is a significant gap for a tool with no annotation coverage.

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, efficient sentence that front-loads the core purpose ('Chat with GitHub Copilot AI models') and adds a clarifying phrase ('for general programming assistance'). There is no wasted wording, making it highly concise and well-structured.

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?

Given the complexity of an AI chat tool with 4 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., how responses are formatted, any limitations), doesn't differentiate from siblings, and provides minimal context beyond the basic purpose, leaving gaps for effective tool selection and invocation.

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 100%, so the schema fully documents all parameters (message, context, model, temperature). The description adds no parameter-specific information beyond what's in the schema, such as examples or usage tips. The baseline score of 3 reflects adequate coverage by the schema alone.

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 clearly states the verb ('Chat with') and resource ('GitHub Copilot AI models'), specifying it's for 'general programming assistance'. However, it doesn't distinguish this from sibling tools like copilot_explain, copilot_review, or copilot_suggest, which likely serve more specific programming assistance purposes.

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 provides no guidance on when to use this tool versus its siblings (copilot_explain, copilot_review, copilot_suggest). It mentions 'general programming assistance' but doesn't clarify what constitutes 'general' versus the more specialized purposes implied by the sibling names, leaving the agent to guess about appropriate contexts.

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