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coval-ai

Coval MCP Server

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by coval-ai

get_metric

Retrieve detailed information about a specific metric, including type, description, and configuration. Obtain the metric ID from list_metrics.

Instructions

Get detailed information about a specific metric. Shows metric type, description, and configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metric_idYesThe unique ID of the metric to retrieve. Get this from list_metrics.
Behavior3/5

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

With no annotations, the description must fully disclose behavior. It states that the tool 'shows metric type, description, and configuration,' implying read-only access, but does not explicitly confirm no side effects, permissions, or rate limits.

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

Conciseness5/5

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

The description is concise, consisting of two sentences that convey the core purpose and output without unnecessary verbiage.

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's simplicity (single parameter, no output schema), the description adequately covers the input requirement and output details (type, description, configuration). It is sufficiently complete for an agent to use correctly.

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?

Schema coverage is 100%, providing a baseline of 3. The description adds value by noting that the metric_id comes from list_metrics, which aids in understanding the prerequisite.

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's purpose: 'Get detailed information about a specific metric.' It distinguishes itself from sibling tools like 'list_metrics' by focusing on a single metric's details.

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 when a metric_id is available, and hints at a prerequisite by saying 'Get this from list_metrics,' but does not explicitly state when to use this tool versus alternatives or when not to use it.

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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