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DX MCP Server

by get-dx

reviewTasks

Review and resolve outstanding DX tasks by identifying and addressing failing checks for specific entities to maintain system integrity.

Instructions

Review/resolve/complete outstanding DX tasks (failing checks).

Args: entity_identifier (str): Entity identifier. check_ids (str): Comma-separated list of check IDs to focus on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_identifierYes
check_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a mutation action ('resolve/complete') but doesn't specify permissions needed, whether changes are reversible, rate limits, or what the response entails. This is a significant gap for a tool that appears to modify data.

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 appropriately sized and front-loaded with the core purpose, followed by parameter details. The two sentences earn their place by covering action and parameters efficiently, though it could be slightly more structured with bullet points or clearer separation.

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?

Given the complexity (a mutation tool with 2 parameters, no annotations, but an output schema exists), the description is minimally adequate. It covers the purpose and parameters but lacks behavioral context and usage guidelines. The output schema mitigates some gaps by handling return values, but overall completeness is limited.

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 description coverage is 0%, so the description must compensate. It adds basic meaning for both parameters (entity_identifier and check_ids), including that check_ids are comma-separated. However, it doesn't explain what an 'entity' is, provide examples, or detail format constraints, leaving gaps in understanding.

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 ('review/resolve/complete') and resource ('outstanding DX tasks (failing checks)'), making the purpose specific. However, it doesn't explicitly differentiate from sibling tools like 'getEntityDetails' or 'queryData', which might also relate to task information but with different functions.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, exclusions, or compare to sibling tools like 'listEntities' or 'queryData', leaving the agent to infer usage context from the purpose 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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