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jamesbrink

MCP Server for Coroot

configure_logs

Configure which logs are collected and processed for an application, with options to set minimum log level and exclude patterns.

Instructions

Configure log collection settings for an application.

Controls which logs are collected and processed, including log level filtering and pattern exclusions.

Args: project_id: The project ID app_id: The application ID enabled: Whether to enable log collection level: Optional minimum log level (debug, info, warn, error) excluded_patterns: Optional regex patterns to exclude

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
app_idYes
enabledYes
levelNo
excluded_patternsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must fully convey behavioral traits. It mentions the tool 'controls which logs are collected and processed' and describes parameters, but fails to disclose side effects (e.g., whether settings are appended or overwritten), idempotency, or asynchronous behavior. The mutation aspect is implied but not clarified.

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 concise with one introductory sentence followed by a clear Args list. No unnecessary details, but the structure is adequate and front-loaded.

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 description covers all parameters and basic functionality, but given the tool's complexity (5 parameters, mutation), it lacks information on prerequisites, error states, or what the output contains. Since an output schema exists, the agent can infer returns, but completeness is still moderate.

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?

With 0% schema description coverage, the description compensates by explaining each parameter's purpose and providing valid values for 'level' (debug, info, warn, error) and clarifying 'excluded_patterns' as regex. This adds significant value beyond the schema titles.

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 clearly states the tool configures log collection settings for an application, specifying it controls log level filtering and pattern exclusions. This distinguishes it from sibling tools like configure_integration or configure_profiling, which handle different resources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for setting up log collection but provides no explicit guidance on when to use this tool versus alternatives like get_application_logs or other configure tools. The sibling names suggest separate domains, but no direct comparison is given.

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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