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jamesbrink

MCP Server for Coroot

get_application_logs

Retrieve application logs with automatic pattern detection and grouping. Filter by time, query, or severity to identify issues.

Instructions

Get application logs with pattern analysis.

Retrieves application logs with automatic pattern detection and grouping. Supports filtering by time range, search query, and severity level.

Args: project_id: Project ID app_id: Application ID (format: namespace/kind/name) from_timestamp: Start timestamp (optional) to_timestamp: End timestamp (optional) query: Log search query (optional) severity: Filter by severity level (optional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
app_idYes
from_timestampNo
to_timestampNo
queryNo
severityNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The description says it retrieves logs (read operation) but does not explicitly state it is read-only or mention any side effects. No annotations are present, so the description carries the burden, but it is adequate.

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?

Structured with a brief main description and an Args list. Minor repetition in the first two sentences, but overall concise and well-organized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 6 parameters, no annotations, and an output schema, the description adequately covers purpose and parameter semantics, though it lacks usage guidelines.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the Args section in the description fully explains all 6 parameters, including formats and optionality, adding significant meaning beyond the schema.

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

Purpose5/5

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

The description clearly states the tool retrieves application logs with automatic pattern detection and grouping. It is distinct from sibling tools like get_application_traces or get_application_profiling.

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 explicit guidance on when to use this tool versus alternatives. The description explains filtering capabilities but does not specify when not to use or provide comparisons to similar 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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