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sapientpants

DeepSource MCP Server

by sapientpants

update_metric_setting

Update quality metric settings for a DeepSource project by specifying metric code and toggling report and threshold enforcement.

Instructions

Update the settings for a quality metric

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectKeyYesDeepSource project key to identify the project
repositoryIdYesRepository GraphQL ID
metricShortcodeYesCode for the metric to update
isReportedYesWhether the metric should be reported
isThresholdEnforcedYesWhether the threshold should be enforced

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
projectKeyYes
metricShortcodeYes
settingsYes
messageYes
next_stepsYes
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only says 'Update', implying mutation, but fails to state side effects, authorization requirements, or error conditions (e.g., what happens if the metric doesn't exist). This is insufficient for an agent to safely invoke the tool.

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 a single, concise sentence with no unnecessary words. It is front-loaded with the key verb and resource, making it efficient for scanning.

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

Completeness2/5

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

Despite the existence of an output schema, the description is too minimal. It does not explain the broader context of updating metric settings, such as the effect on reporting or enforcement, or how it relates to other metric tools. The five required parameters are left unexplained beyond the schema, which is insufficient for a complete understanding.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3. The description adds no additional meaning beyond the schema; it merely restates the generic 'settings' without explaining how the boolean parameters affect the metric. The agent must rely entirely on the parameter descriptions in the schema.

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 action ('Update') and the resource ('settings for a quality metric'), which is sufficient to understand the basic purpose. However, it does not distinguish from the sibling tool 'update_metric_threshold', which might update a specific threshold value, so specificity is slightly lacking.

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 provided on when to use this tool versus alternatives like 'update_metric_threshold'. The description does not mention context, prerequisites, or scenarios where this tool is appropriate, leaving the agent to infer usage from the schema alone.

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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