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validate_server_configuration

Checks the loaded server configuration for validity while omitting machine-specific paths, helping confirm settings are correct before use.

Instructions

Validate the loaded configuration without returning machine-specific paths.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.1

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full load and does disclose one meaningful behavioral trait: machine-specific paths are deliberately excluded from the result, implying a safe, sanitized read. It does not state whether validation is read-only, what happens on invalid configuration (error vs. result), or whether any state is mutated.

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 with no filler. The scope constraint is placed immediately after the action, so the agent reads the key caveat first.

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?

The zero-parameter shape and the presence of an output schema mean the description needn't explain return values or inputs. Still, for a validation tool with no annotations, it should clarify what is validated, whether failure is reported as an error, and how it relates to sibling health/policy tools.

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 takes no parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The one sentence present is about output shaping rather than inputs, which is appropriate.

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

Purpose3/5

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

The description states a specific verb (validate) and resource (the loaded configuration), which is more than a tautology. However, it never says which configuration is involved or how this differs from siblings like server_health, policy_info, or get_capability_help, leaving the scope ambiguous.

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 indication of when to call this tool, what preconditions must hold, or which alternative to use for adjacent questions such as server_health or policy_info. The agent must infer the use case entirely from the name.

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