Skip to main content
Glama

graph-batch

Destructive

Combine up to 20 Microsoft Graph API requests into a single HTTP call. Use for parallel reads, dependent writes, or batch Excel updates to reduce 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?

Annotations indicate destructiveHint: true, which is consistent with the tool supporting writes. The description adds that responses are in arbitrary order and must be matched by id, and notes the URL is relative to the Graph version root. These details go beyond annotations to inform the agent about important behavioral traits.

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, front-loading the main purpose and then providing details and use cases. There is minor redundancy between the initial description and the tip section, but overall every sentence adds value. The use of emoji and bolding aids readability.

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

Completeness4/5

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

Given the tool's complexity and the absence of an output schema, the description adequately covers the input parameters, response format, and use cases. It provides enough context for an agent to use the tool correctly among numerous siblings.

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 with no detailed structure, but the description fully explains its expected format with examples, including fields like id, method, url, headers, body, and dependsOn. For 'includeHeaders' and 'excludeResponse', the schema already has descriptions. The description adds significant meaning beyond the schema for the critical 'body' parameter.

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's purpose: 'Combine up to 20 Graph requests into a single HTTP call.' It provides the exact structure of the request body and response, and distinguishes itself from the many sibling tools by being a batch mechanism. The verb 'combine' and resource 'Graph requests' are specific and action-oriented.

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 explicitly lists three use cases: parallelizing reads, sequencing dependent writes via dependsOn, and batching Excel writes. It also includes a tip about URL format. While it doesn't explicitly state when not to use it, the use cases provide clear context for appropriate usage.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Softeria/ms-365-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server