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panelica-mcp

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by Panelica

panelica_logs_get_v1_logs_access_stats

Read-onlyIdempotent

Get access log statistics to analyze website traffic and identify request patterns. Retrieve read-only metrics from the hosting panel.

Instructions

Access log stats

HTTP: GET /v1/logs/access/stats 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, openWorldHint, and destructiveHint=false, and the description's 'Read-only' mostly repeats that. It does add useful auth context (Required scopes: logs:read) and the HTTP method, but it does not describe what the stats contain, how they are scoped, or whether any time filter applies. With no output schema, the agent gets limited insight into the response.

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 very brief and front-loads the core concept, followed by structured metadata. Nothing is excessive, though the read-only line duplicates an annotation and the title line repeats the schema title. For a simple endpoint this is appropriately compact.

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 zero-parameter read-only stats endpoint, the description plus annotations cover invocation safety and method. However, it never states what aggregate statistics are returned (e.g., requests, bandwidth, time window), and there is no output schema to fill that gap, leaving an agent to guess at the response shape. It is functional but not fully self-sufficient.

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?

There are zero parameters and the schema is fully covered at 100%, so there is nothing for the description to explain. Per the baseline for 0-param tools, this is sufficient; no additional parameter documentation is needed.

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 'Access log stats' is a noun phrase rather than a full verb statement, but it clearly identifies the resource (access logs) and the operation kind (stats), and the HTTP GET line reinforces retrieval. It is distinguishable from siblings like logs_access and logs_access_tail because 'stats' signals aggregated data, and from logs_errors_stats because it is scoped to access logs. However, no explicit verb like 'retrieve' or 'list' is present.

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?

No guidance is given on when to use this tool versus alternatives. There is no mention of sibling tools such as logs_access, logs_access_tail, or logs_errors_stats, nor any condition like 'when you need aggregate metrics' versus raw log entries. The Category and scope lines provide context but not selection criteria.

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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