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graph_build_batch

Combine up to 20 Microsoft Graph API requests into a single batch POST to /$batch for efficient execution.

Instructions

Build a Microsoft Graph JSON batch request body — combine up to 20 API calls into a single POST to /$batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestsYes
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It states 'Build a Microsoft Graph JSON batch request body' but does not clarify whether the tool only builds the body or also sends the request. It lacks information about side effects, required permissions, or rate limits.

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, front-loaded sentence that efficiently conveys the core purpose without extraneous words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the tool's simplicity (1 parameter), the description lacks details about the return value (e.g., does it return a string or object?), does not explain output format, and provides no usage context. Without an output schema, more description is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds no parameter-level information, and schema description coverage is 0%. Although the input schema includes property descriptions, the tool's text does not compensate, missing an opportunity to clarify parameter usage or constraints beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Build a Microsoft Graph JSON batch request body — combine up to 20 API calls into a single POST to /$batch' uses a specific verb (Build), identifies the resource (JSON batch request body), and distinguishes it from sibling tools like graph_explain_batch by indicating it constructs the actual request.

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

Usage Guidelines3/5

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

The description implies use when you need to batch multiple Graph API calls, but it does not explicitly state when to use this tool versus alternatives like graph_explain_batch, nor does it provide exclusion criteria or prerequisites (e.g., authentication).

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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