Skip to main content
Glama

sap_read_dumps

Retrieve ABAP short dumps from SAP ST22 to diagnose runtime errors. Filter by user or date range and get details on date, time, user, program, and error cause.

Instructions

Query ABAP runtime errors (short dumps) from SAP's ST22 transaction. Returns dump information including date, time, user, program, and error details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userNoFilter by user name (optional)
date_toNoEnd date in YYYYMMDD format (default: today)
max_rowsNoMaximum rows to return
date_fromNoStart date in YYYYMMDD format (default: today)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed12 schema fields changedv0.1.2
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedInput schema / properties / date_from / description
      Previous value: -"Start date YYYYMMDD"New value: +"Start date in YYYYMMDD format (default: today)"
    • addedInput schema / properties / date_from / example
      Added value: +"20260101"
    • changedInput schema / properties / date_to / description
      Previous value: -"End date YYYYMMDD"New value: +"End date in YYYYMMDD format (default: today)"
    • addedInput schema / properties / date_to / example
      Added value: +"20260131"
    • addedInput schema / properties / max_rows / default
      Added value: +100
    • changedInput schema / properties / max_rows / description
      Previous value: -"Maximum rows (default 100)"New value: +"Maximum rows to return"
    • addedInput schema / properties / max_rows / example
      Added value: +100
    • changedInput schema / properties / max_rows / type
      Previous value: -"number"New value: +"integer"
    • changedInput schema / properties / user / description
      Previous value: -"Filter by SAP user"New value: +"Filter by user name (optional)"
    • addedInput schema / properties / user / example
      Added value: +"DEVELOPER1"
  2. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. 'Query' implies a read operation, and the listed return fields provide useful context. However, it does not disclose potential limitations, authentication needs, result ordering, or behavior around the optional date/max_rows parameters.

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 two sentences with no filler. It front-loads the primary action and source system, then lists the key returned fields. Every sentence earns its place.

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 read-only query with four optional parameters and no output schema, the description gives a reasonable overview and lists return fields. Still, it omits usage guidance and any behavioral caveats, and the existence of sap_read_dump_details suggests a distinction that is not clarified.

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

Parameters3/5

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

Schema description coverage is 100%, so all four parameters are already documented in the input schema. The description adds general output context but does not explain parameter semantics beyond what the schema already provides, so the baseline 3 is appropriate.

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 the tool queries ABAP runtime errors (short dumps) from SAP's ST22 transaction, with a specific verb and resource. However, it does not explicitly differentiate itself from the sibling sap_read_dump_details, so the distinction between listing dumps and reading dump details is left to inference.

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?

The description explains what the tool does but gives no guidance on when to use it instead of related tools such as sap_read_dump_details or sap_lookup_error. No when-to-use or when-not-to-use conditions are provided.

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

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/NicoHern/abapilot-mcp'

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