Skip to main content
Glama

get_server_diagnostics

Analyze SA-MP server logs to detect crash signatures, plugin load failures, and other common issues, providing actionable diagnostics.

Instructions

Analyze server logs for common issues (Crash signatures, Plugin load failures, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. It implies a read-only diagnostic operation but does not explicitly state that it performs no modifications, what it scans, how deep the analysis goes, or what the output looks like. For a tool with no annotation safety hints, this is a meaningful gap.

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?

A single, front-loaded sentence that directly states the tool's job and includes useful examples. Every word contributes; there is no fluff or redundant schema repetition.

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 parameterless tool, the description is reasonably complete, but with no output schema and no annotations, there is no explanation of the diagnostic report format, scope of logs analyzed, or operational side effects. The examples help, but the absence of any return-value or behavioral context leaves the agent with moderate uncertainty about what invoking the tool actually produces.

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 tool has zero parameters and the schema description coverage is 100%, so there is no parameter information missing. Although the description does not add parameter-level detail, none is required; the baseline of 4 for no-parameter tools applies.

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 states a clear verb ('Analyze'), a specific resource ('server logs'), and an intended outcome ('common issues'), with concrete examples like Crash signatures and Plugin load failures. It is sufficiently distinct from the read/search log siblings because it frames the action as diagnostic analysis rather than raw retrieval, though it does not explicitly contrast with audit_performance.

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?

There is no guidance on when to use this tool versus the many related sibling tools such as read_server_log, search_server_log, or audit_performance. The description implies the tool is for diagnosis, but it does not state conditions, exclusions, or alternatives, leaving the agent to infer the appropriate selection.

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/KongGithubDev/SAMP-MCP'

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