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panelica-mcp

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by Panelica

panelica_logs_get_v1_logs_dashboard

Read-onlyIdempotent

Fetch log dashboard stats to monitor server activity, identify trends, and troubleshoot problems.

Instructions

Log dashboard stats

HTTP: GET /v1/logs/dashboard Category: Logs Required scopes: logs:read Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description's 'Read-only' adds no new safety information. It does add useful context beyond annotations: the HTTP method and the required auth scope (logs:read). However, it does not disclose response characteristics, content shape, or any other behavior, so it provides only modest added value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well-structured, with each line carrying a distinct piece of metadata (title, HTTP method, category, scope, read-only flag). It is not bloated, though the opening line 'Log dashboard stats' largely repeats the tool name and could be more informative.

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 no-parameter, read-only GET endpoint, the description covers the basics: endpoint, category, auth scope, and safety. However, there is no output schema, and the description does not describe what the dashboard stats response contains, what time ranges or aggregations apply, or how it differs from other stats endpoints, leaving meaningful gaps for an agent deciding whether this tool satisfies a user request.

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 is an empty object with 100% coverage. There is nothing for the description to explain, so the baseline of 4 applies. The description appropriately adds no redundant parameter details.

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 identifies a specific resource ('Log dashboard stats') and the HTTP endpoint (GET /v1/logs/dashboard), making it clear this retrieves the log dashboard statistics. It is distinguishable from sibling log endpoints like logs_get_v1_logs_errors_stats or logs_get_v1_logs_access_stats by the 'dashboard' resource, but it lacks an explicit verb and does not specify what metrics the dashboard includes.

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 states the category (Logs), required scope (logs:read), and that it is read-only, but gives no guidance on when to use this tool versus the many related log/statistics endpoints. There are no mentioned alternatives, exclusions, or conditions that would help an agent decide between this and sibling stats tools.

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

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