execute_graph_batch

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

Annotations indicate the tool is not read-only, idempotent, or destructive, but the description adds value by explaining the batch operation's purpose for performance. However, it lacks details on error handling, rate limits, authentication needs, or response format. With annotations covering basic safety, the description provides some context but not rich behavioral disclosure.

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, well-structured sentence that efficiently conveys the core purpose and benefit. It's front-loaded with the main action and avoids unnecessary words, making it easy to parse quickly.

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 tool's complexity (handling batch API requests with multiple methods), lack of output schema, and 0% schema description coverage, the description is insufficient. It doesn't explain the input structure, response format, error handling, or limitations, making it incomplete for effective agent use despite the concise phrasing.

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, but it provides no information about the 'requests' parameter. The description mentions 'multiple Microsoft Graph API requests' but doesn't explain the structure, required fields (like 'method' and 'url'), or constraints (e.g., max 20 items). This leaves a significant gap in understanding how to use the tool effectively.

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 tool's purpose: 'Execute multiple Microsoft Graph API requests in a single batch operation.' It specifies the verb ('execute'), resource ('Microsoft Graph API requests'), and scope ('multiple...in a single batch operation'). However, it doesn't explicitly differentiate from sibling tools like 'call_microsoft_api' or 'execute_graph_search', which prevents a perfect score.

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 implies usage context by mentioning 'improved performance and efficiency,' suggesting this tool should be used when batching multiple requests. However, it doesn't provide explicit guidance on when to use this versus alternatives (e.g., 'call_microsoft_api' for single requests) or any prerequisites or exclusions, leaving room for ambiguity.

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