Skip to main content
Glama
satya01-sap

SAP Ariba MCP Server

by satya01-sap

get_event_summary

Retrieve supplier bids for a sourcing event by providing document ID, user, password adapter, and realm parameters.

Instructions

Retrieve supplier bids for a sourcing event.

Args: doc_id: Document ID (e.g., 'Doc1213131') user: Username (e.g., myuser) password_adapter: Password adapter (e.g., 'myadaptor') realm: Realm name (e.g., 'myrelm')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userYes
realmYes
doc_idYes
password_adapterYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations, the description must shoulder the burden of behavioral disclosure. 'Retrieve' implies a read-only operation, and the credential arguments hint at authentication requirements, but the description does not mention error behavior, side effects, return format, or any special constraints. This is minimal.

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 compact and well organized: one purpose sentence followed by a tidy args block. Every element serves a function, and the examples are efficiently embedded. No filler or redundant content.

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

Completeness3/5

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

For a 4-parameter retrieval tool with an output schema available, the description supplies the call parameters and examples, which is decent. However, it omits when-to-use guidance, where credential values come from, and any operational context such as error conditions or required permissions. It is usable but not fully self-contained.

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

Parameters4/5

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

The schema provides only property titles with 0% description coverage, so the description's Args block is essential. It labels each parameter and gives concrete examples (e.g., doc_id as 'Doc1213131', password_adapter as 'myadaptor'), which materially helps an agent understand expected values. It does not explain edge cases or validation, but it compensates well for the bare schema.

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

Purpose4/5

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

The description clearly states a specific operation: 'Retrieve supplier bids for a sourcing event.' The verb and resource are explicit, though there is a slight mismatch between the tool name ('event summary') and the described output ('supplier bids'). No sibling tools exist, so differentiation isn't possible, but the core purpose is understandable.

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

Usage Guidelines2/5

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

No guidance is provided about when to use this tool, what scenarios it applies to, or when to prefer an alternative. The description is purely declarative and provides no context about typical use cases or prerequisites beyond listing required arguments.

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

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/satya01-sap/mcp-server-ariba'

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