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graph-batch

Destructive

Combine up to 20 Microsoft Graph requests into a single HTTP call to parallelize reads, sequence dependent writes, or batch multiple operations for reduced latency.

Instructions

Combine up to 20 Graph requests into a single HTTP call. Body: { requests: [{ id: '1', method: 'GET'|'POST'|'PATCH'|'DELETE', url: '/me/messages?$top=5', headers?: {...}, body?: {...}, dependsOn?: ['1'] }, ...] }. Returns { responses: [{ id, status, body, headers }] } in arbitrary order — match by id. Use cases: (1) parallelize many small reads (e.g. fetch 15 mail messages by id in one round-trip); (2) sequence dependent writes via dependsOn; (3) batch many Excel range writes into one call to dramatically reduce latency on large workbook builds. Note: each sub-request URL is relative to the Graph version root (/me/..., /drives/..., NOT https://graph.microsoft.com/v1.0/...).

💡 TIP: Combine up to 20 Graph requests into a single HTTP call. Body: { requests: [{ id: '1', method: 'GET'|'POST'|'PATCH'|'DELETE', url: '/me/messages?$top=5', headers?: {...}, body?: {...}, dependsOn?: ['1'] }, ...] }. Returns { responses: [{ id, status, body, headers }] } in arbitrary order — match by id. Use cases: (1) parallelize many small reads (e.g. fetch 15 mail messages by id in one round-trip); (2) sequence dependent writes via dependsOn; (3) batch many Excel range writes into one call to dramatically reduce latency on large workbook builds. Note: each sub-request URL is relative to the Graph version root (/me/..., /drives/..., NOT https://graph.microsoft.com/v1.0/...).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
includeHeadersNoInclude response headers (including ETag) in the response metadata
excludeResponseNoExclude the full response body and only return success or failure indication
Behavior4/5

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

The description adds significant behavioral context beyond annotations: response order is arbitrary and must be matched by id, sub-request URLs are relative, and requests can be dependent via dependsOn. Annotations already indicate destructive and open-world behavior, but the description enhances understanding without contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with bullet points and a tip, but contains redundancy as the tip repeats the same information. It is slightly longer than necessary but still clear and front-loaded with key details.

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

Completeness5/5

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

Given the complexity of a batch tool with nested requests and no output schema, the description thoroughly covers request/response formats, use cases, URL rules, and dependencies. It is complete enough for an agent to select and invoke the tool correctly.

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

Parameters5/5

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

The input schema defines 'body' as an object without specific properties, but the description provides a detailed structure with examples for id, method, url, headers, body, dependsOn. It also explains the response format. This adds substantial meaning beyond the schema, compensating for the schema's lack of property definitions.

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 clearly states the tool combines up to 20 Graph requests into one HTTP call, with a specific verb and resource (batching requests). It distinguishes from sibling tools, which are individual operations, by emphasizing batching multiple requests.

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

Usage Guidelines4/5

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

The description provides explicit use cases: parallelize reads, sequence dependent writes, batch Excel range writes. It also notes the URL must be relative to the Graph version root. However, it does not explicitly state when not to use this tool or list alternatives.

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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