quesen.version
Full engine configuration — weights, thresholds, versions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Full engine configuration — weights, thresholds, versions.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden; it does disclose the configuration domains (weights, thresholds, versions) and, by having no inputs, suggests a read-only inspection. It does not explicitly state that invocation has no side effects or describe the returned structure, which leaves some ambiguity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One compact sentence with no filler; the key scoping phrase 'Full engine configuration' is front-loaded and the examples that follow clarify scope.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless, no-output-schema tool with no annotations, the description is mostly sufficient: an agent knows what resource is exposed and what categories of data it contains. It would be stronger if it explicitly said whether it returns/sets configuration, but the context makes that unlikely.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, and the schema enforces an empty object, so the description does not need to explain parameter behavior. Baseline 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description identifies the resource as the full engine configuration and enumerates contents (weights, thresholds, versions), which clearly separates it from health/report/simulate/validate siblings. It stops short of an explicit verb, but the empty input schema implies this is a retrieval operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is used when the current engine configuration is needed, and the sibling names provide obvious contrast. However, it does not state when not to use it, mention prerequisites, or name an alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct role: health for liveness, validate for pre-decision risk, report for post-decision feedback, simulate for counterfactual scoring, and version for configuration. Even the minor overlap between health and version is resolved by their descriptions (liveness probe vs. full config).
All tools share a consistent 'quesen.' prefix and lowercase single-word naming, which is predictable. However, the suffix words are not uniformly verbs or nouns (health, version vs. validate, simulate), so the semantic pattern is mildly inconsistent.
Five tools is well-scoped for a decision-layer server. Each tool covers a distinct core concern without redundancy or excessive surface area.
The set covers the core decision lifecycle: validate pre-decision, report post-decision, simulate counterfactuals, and inspect configuration. The main minor gap is that aggregated report results are described but there is no tool to retrieve them.